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translation | transformers |
### opus-mt-de-pl
* source languages: de
* target languages: pl
* OPUS readme: [de-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pl/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pl/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pl/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.pl | 41.2 | 0.631 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-de-pl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"de",
"pl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-de-pon
* source languages: de
* target languages: pon
* OPUS readme: [de-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-pon/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-pon/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pon/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-pon/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.de.pon | 21.0 | 0.442 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-de-pon | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"de",
"pon",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### deu-tgl
* source group: German
* target group: Tagalog
* OPUS readme: [deu-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-tgl/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): tgl_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.tgl | 21.2 | 0.541 |
### System Info:
- hf_name: deu-tgl
- source_languages: deu
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'tl']
- src_constituents: {'deu'}
- tgt_constituents: {'tgl_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-tgl/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: tgl
- short_pair: de-tl
- chrF2_score: 0.541
- bleu: 21.2
- brevity_penalty: 1.0
- ref_len: 2329.0
- src_name: German
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: tl
- prefer_old: False
- long_pair: deu-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["de", "tl"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-de-tl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"de",
"tl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### deu-ukr
* source group: German
* target group: Ukrainian
* OPUS readme: [deu-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ukr/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): ukr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.ukr | 40.2 | 0.612 |
### System Info:
- hf_name: deu-ukr
- source_languages: deu
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'uk']
- src_constituents: {'deu'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ukr/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: ukr
- short_pair: de-uk
- chrF2_score: 0.612
- bleu: 40.2
- brevity_penalty: 0.9840000000000001
- ref_len: 54213.0
- src_name: German
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: uk
- prefer_old: False
- long_pair: deu-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["de", "uk"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-de-uk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"de",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### deu-vie
* source group: German
* target group: Vietnamese
* OPUS readme: [deu-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-vie/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): vie
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.vie | 25.0 | 0.443 |
### System Info:
- hf_name: deu-vie
- source_languages: deu
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'vi']
- src_constituents: {'deu'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-vie/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: vie
- short_pair: de-vi
- chrF2_score: 0.44299999999999995
- bleu: 25.0
- brevity_penalty: 1.0
- ref_len: 3768.0
- src_name: German
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: vi
- prefer_old: False
- long_pair: deu-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["de", "vi"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-de-vi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"de",
"vi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### dra-eng
* source group: Dravidian languages
* target group: English
* OPUS readme: [dra-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dra-eng/README.md)
* model: transformer
* source language(s): kan mal tam tel
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kan-eng.kan.eng | 9.1 | 0.312 |
| Tatoeba-test.mal-eng.mal.eng | 42.0 | 0.584 |
| Tatoeba-test.multi.eng | 30.0 | 0.493 |
| Tatoeba-test.tam-eng.tam.eng | 30.2 | 0.467 |
| Tatoeba-test.tel-eng.tel.eng | 15.9 | 0.378 |
### System Info:
- hf_name: dra-eng
- source_languages: dra
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dra-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ta', 'kn', 'ml', 'te', 'dra', 'en']
- src_constituents: {'tam', 'kan', 'mal', 'tel'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dra-eng/opus2m-2020-07-31.test.txt
- src_alpha3: dra
- tgt_alpha3: eng
- short_pair: dra-en
- chrF2_score: 0.493
- bleu: 30.0
- brevity_penalty: 1.0
- ref_len: 10641.0
- src_name: Dravidian languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: dra
- tgt_alpha2: en
- prefer_old: False
- long_pair: dra-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ta", "kn", "ml", "te", "dra", "en"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-dra-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ta",
"kn",
"ml",
"te",
"dra",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ee-de
* source languages: ee
* target languages: de
* OPUS readme: [ee-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.de | 22.3 | 0.430 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ee-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ee",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ee-en
* source languages: ee
* target languages: en
* OPUS readme: [ee-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-en/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-en/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-en/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.en | 39.3 | 0.556 |
| Tatoeba.ee.en | 21.2 | 0.569 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ee-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ee",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ee-es
* source languages: ee
* target languages: es
* OPUS readme: [ee-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-es/opus-2020-01-15.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.es | 26.4 | 0.449 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ee-es | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ee",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ee-fi
* source languages: ee
* target languages: fi
* OPUS readme: [ee-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-fi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.fi | 25.0 | 0.482 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ee-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ee",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ee-fr
* source languages: ee
* target languages: fr
* OPUS readme: [ee-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.fr | 27.1 | 0.450 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ee-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ee",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-ee-sv
* source languages: ee
* target languages: sv
* OPUS readme: [ee-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ee-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ee-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.ee.sv | 28.9 | 0.472 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-ee-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ee",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-efi-de
* source languages: efi
* target languages: de
* OPUS readme: [efi-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/efi-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-de/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.de | 21.0 | 0.401 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-efi-de | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"efi",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-efi-en
* source languages: efi
* target languages: en
* OPUS readme: [efi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/efi-en/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-en/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-en/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.en | 35.4 | 0.510 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-efi-en | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"efi",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-efi-fi
* source languages: efi
* target languages: fi
* OPUS readme: [efi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.fi | 23.6 | 0.450 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-efi-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"efi",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-efi-fr
* source languages: efi
* target languages: fr
* OPUS readme: [efi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/efi-fr/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fr/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-fr/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.fr | 25.1 | 0.419 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-efi-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"efi",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-efi-sv
* source languages: efi
* target languages: sv
* OPUS readme: [efi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/efi-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.efi.sv | 26.8 | 0.447 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-efi-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"efi",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ell-ara
* source group: Modern Greek (1453-)
* target group: Arabic
* OPUS readme: [ell-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-ara/README.md)
* model: transformer
* source language(s): ell
* target language(s): ara arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ell.ara | 21.9 | 0.485 |
### System Info:
- hf_name: ell-ara
- source_languages: ell
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['el', 'ar']
- src_constituents: {'ell'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-ara/opus-2020-07-03.test.txt
- src_alpha3: ell
- tgt_alpha3: ara
- short_pair: el-ar
- chrF2_score: 0.485
- bleu: 21.9
- brevity_penalty: 0.972
- ref_len: 1686.0
- src_name: Modern Greek (1453-)
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: el
- tgt_alpha2: ar
- prefer_old: False
- long_pair: ell-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["el", "ar"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-el-ar | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"el",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### ell-epo
* source group: Modern Greek (1453-)
* target group: Esperanto
* OPUS readme: [ell-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-epo/README.md)
* model: transformer-align
* source language(s): ell
* target language(s): epo
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ell.epo | 32.4 | 0.517 |
### System Info:
- hf_name: ell-epo
- source_languages: ell
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['el', 'eo']
- src_constituents: {'ell'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.test.txt
- src_alpha3: ell
- tgt_alpha3: epo
- short_pair: el-eo
- chrF2_score: 0.517
- bleu: 32.4
- brevity_penalty: 0.9790000000000001
- ref_len: 3807.0
- src_name: Modern Greek (1453-)
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: el
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ell-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["el", "eo"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-el-eo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"el",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-el-fi
* source languages: el
* target languages: fi
* OPUS readme: [el-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/el-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fi/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.el.fi | 25.3 | 0.517 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-el-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"el",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-el-fr
* source languages: el
* target languages: fr
* OPUS readme: [el-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/el-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-fr/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.el.fr | 63.0 | 0.741 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-el-fr | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"el",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-el-sv
* source languages: el
* target languages: sv
* OPUS readme: [el-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.el.sv | 23.6 | 0.498 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-el-sv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"el",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-INSULAR_CELTIC
* source languages: en
* target languages: ga,cy,br,gd,kw,gv
* OPUS readme: [en-ga+cy+br+gd+kw+gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ga+cy+br+gd+kw+gv/README.md)
* dataset: opus+techiaith+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus+techiaith+bt-2020-04-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.zip)
* test set translations: [opus+techiaith+bt-2020-04-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.test.txt)
* test set scores: [opus+techiaith+bt-2020-04-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ga+cy+br+gd+kw+gv/opus+techiaith+bt-2020-04-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ga | 22.8 | 0.404 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-CELTIC | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"cel",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ROMANCE
* source languages: en
* target languages: fr,fr_BE,fr_CA,fr_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es_AR,es_CL,es_CO,es_CR,es_DO,es_EC,es_ES,es_GT,es_HN,es_MX,es_NI,es_PA,es_PE,es_PR,es_SV,es_UY,es_VE,pt,pt_br,pt_BR,pt_PT,gl,lad,an,mwl,it,it_IT,co,nap,scn,vec,sc,ro,la
* OPUS readme: [en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/README.md)
* dataset: opus
* model: transformer
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-04-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.zip)
* test set translations: [opus-2020-04-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.test.txt)
* test set scores: [opus-2020-04-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la/opus-2020-04-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.la | 50.1 | 0.693 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ROMANCE | null | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"roa",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-aav
* source group: English
* target group: Austro-Asiatic languages
* OPUS readme: [eng-aav](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md)
* model: transformer
* source language(s): eng
* target language(s): hoc hoc_Latn kha khm khm_Latn mnw vie vie_Hani
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-hoc.eng.hoc | 0.1 | 0.033 |
| Tatoeba-test.eng-kha.eng.kha | 0.4 | 0.043 |
| Tatoeba-test.eng-khm.eng.khm | 0.2 | 0.242 |
| Tatoeba-test.eng-mnw.eng.mnw | 0.8 | 0.003 |
| Tatoeba-test.eng.multi | 16.1 | 0.311 |
| Tatoeba-test.eng-vie.eng.vie | 33.2 | 0.508 |
### System Info:
- hf_name: eng-aav
- source_languages: eng
- target_languages: aav
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aav/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'vi', 'km', 'aav']
- src_constituents: {'eng'}
- tgt_constituents: {'mnw', 'vie', 'kha', 'khm', 'vie_Hani', 'khm_Latn', 'hoc_Latn', 'hoc'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aav/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: aav
- short_pair: en-aav
- chrF2_score: 0.311
- bleu: 16.1
- brevity_penalty: 1.0
- ref_len: 38261.0
- src_name: English
- tgt_name: Austro-Asiatic languages
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: aav
- prefer_old: False
- long_pair: eng-aav
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "vi", "km", "aav"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-aav | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"vi",
"km",
"aav",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-af
* source languages: en
* target languages: af
* OPUS readme: [en-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-af/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-af/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-af/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-af/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.af | 56.1 | 0.741 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-af | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"af",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-afa
* source group: English
* target group: Afro-Asiatic languages
* OPUS readme: [eng-afa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md)
* model: transformer
* source language(s): eng
* target language(s): acm afb amh apc ara arq ary arz hau_Latn heb kab mlt rif_Latn shy_Latn som tir
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-amh.eng.amh | 11.6 | 0.504 |
| Tatoeba-test.eng-ara.eng.ara | 12.0 | 0.404 |
| Tatoeba-test.eng-hau.eng.hau | 10.2 | 0.429 |
| Tatoeba-test.eng-heb.eng.heb | 32.3 | 0.551 |
| Tatoeba-test.eng-kab.eng.kab | 1.6 | 0.191 |
| Tatoeba-test.eng-mlt.eng.mlt | 17.7 | 0.551 |
| Tatoeba-test.eng.multi | 14.4 | 0.375 |
| Tatoeba-test.eng-rif.eng.rif | 1.7 | 0.103 |
| Tatoeba-test.eng-shy.eng.shy | 0.8 | 0.090 |
| Tatoeba-test.eng-som.eng.som | 16.0 | 0.429 |
| Tatoeba-test.eng-tir.eng.tir | 2.7 | 0.238 |
### System Info:
- hf_name: eng-afa
- source_languages: eng
- target_languages: afa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-afa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'so', 'ti', 'am', 'he', 'mt', 'ar', 'afa']
- src_constituents: {'eng'}
- tgt_constituents: {'som', 'rif_Latn', 'tir', 'kab', 'arq', 'afb', 'amh', 'arz', 'heb', 'shy_Latn', 'apc', 'mlt', 'thv', 'ara', 'hau_Latn', 'acm', 'ary'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-afa/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: afa
- short_pair: en-afa
- chrF2_score: 0.375
- bleu: 14.4
- brevity_penalty: 1.0
- ref_len: 58110.0
- src_name: English
- tgt_name: Afro-Asiatic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: afa
- prefer_old: False
- long_pair: eng-afa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "so", "ti", "am", "he", "mt", "ar", "afa"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-afa | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"so",
"ti",
"am",
"he",
"mt",
"ar",
"afa",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-alv
* source group: English
* target group: Atlantic-Congo languages
* OPUS readme: [eng-alv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-alv/README.md)
* model: transformer
* source language(s): eng
* target language(s): ewe fuc fuv ibo kin lin lug nya run sag sna swh toi_Latn tso umb wol xho yor zul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-ewe.eng.ewe | 4.9 | 0.212 |
| Tatoeba-test.eng-ful.eng.ful | 0.6 | 0.079 |
| Tatoeba-test.eng-ibo.eng.ibo | 3.5 | 0.255 |
| Tatoeba-test.eng-kin.eng.kin | 10.5 | 0.510 |
| Tatoeba-test.eng-lin.eng.lin | 1.1 | 0.273 |
| Tatoeba-test.eng-lug.eng.lug | 5.3 | 0.340 |
| Tatoeba-test.eng.multi | 11.4 | 0.429 |
| Tatoeba-test.eng-nya.eng.nya | 18.1 | 0.595 |
| Tatoeba-test.eng-run.eng.run | 13.9 | 0.484 |
| Tatoeba-test.eng-sag.eng.sag | 5.3 | 0.194 |
| Tatoeba-test.eng-sna.eng.sna | 26.2 | 0.623 |
| Tatoeba-test.eng-swa.eng.swa | 1.0 | 0.141 |
| Tatoeba-test.eng-toi.eng.toi | 7.0 | 0.224 |
| Tatoeba-test.eng-tso.eng.tso | 46.7 | 0.643 |
| Tatoeba-test.eng-umb.eng.umb | 7.8 | 0.359 |
| Tatoeba-test.eng-wol.eng.wol | 6.8 | 0.191 |
| Tatoeba-test.eng-xho.eng.xho | 27.1 | 0.629 |
| Tatoeba-test.eng-yor.eng.yor | 17.4 | 0.356 |
| Tatoeba-test.eng-zul.eng.zul | 34.1 | 0.729 |
### System Info:
- hf_name: eng-alv
- source_languages: eng
- target_languages: alv
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-alv/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sn', 'rw', 'wo', 'ig', 'sg', 'ee', 'zu', 'lg', 'ts', 'ln', 'ny', 'yo', 'rn', 'xh', 'alv']
- src_constituents: {'eng'}
- tgt_constituents: {'sna', 'kin', 'wol', 'ibo', 'swh', 'sag', 'ewe', 'zul', 'fuc', 'lug', 'tso', 'lin', 'nya', 'yor', 'run', 'xho', 'fuv', 'toi_Latn', 'umb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-alv/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: alv
- short_pair: en-alv
- chrF2_score: 0.429
- bleu: 11.4
- brevity_penalty: 1.0
- ref_len: 10603.0
- src_name: English
- tgt_name: Atlantic-Congo languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: alv
- prefer_old: False
- long_pair: eng-alv
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "sn", "rw", "wo", "ig", "sg", "ee", "zu", "lg", "ts", "ln", "ny", "yo", "rn", "xh", "alv"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-alv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sn",
"rw",
"wo",
"ig",
"sg",
"ee",
"zu",
"lg",
"ts",
"ln",
"ny",
"yo",
"rn",
"xh",
"alv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-ara
* source group: English
* target group: Arabic
* OPUS readme: [eng-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md)
* model: transformer
* source language(s): eng
* target language(s): acm afb apc apc_Latn ara ara_Latn arq arq_Latn ary arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.ara | 14.0 | 0.437 |
### System Info:
- hf_name: eng-ara
- source_languages: eng
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ar']
- src_constituents: {'eng'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.test.txt
- src_alpha3: eng
- tgt_alpha3: ara
- short_pair: en-ar
- chrF2_score: 0.43700000000000006
- bleu: 14.0
- brevity_penalty: 1.0
- ref_len: 58935.0
- src_name: English
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: en
- tgt_alpha2: ar
- prefer_old: False
- long_pair: eng-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "ar"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ar | null | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-aze
* source group: English
* target group: Azerbaijani
* OPUS readme: [eng-aze](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aze/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): aze_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.aze | 18.6 | 0.477 |
### System Info:
- hf_name: eng-aze
- source_languages: eng
- target_languages: aze
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aze/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'az']
- src_constituents: {'eng'}
- tgt_constituents: {'aze_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: aze
- short_pair: en-az
- chrF2_score: 0.47700000000000004
- bleu: 18.6
- brevity_penalty: 1.0
- ref_len: 13012.0
- src_name: English
- tgt_name: Azerbaijani
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: az
- prefer_old: False
- long_pair: eng-aze
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "az"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-az | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"az",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-bat
* source group: English
* target group: Baltic languages
* OPUS readme: [eng-bat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bat/README.md)
* model: transformer
* source language(s): eng
* target language(s): lav lit ltg prg_Latn sgs
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2017-enlv-englav.eng.lav | 24.0 | 0.546 |
| newsdev2019-enlt-englit.eng.lit | 20.9 | 0.533 |
| newstest2017-enlv-englav.eng.lav | 18.3 | 0.506 |
| newstest2019-enlt-englit.eng.lit | 13.6 | 0.466 |
| Tatoeba-test.eng-lav.eng.lav | 42.8 | 0.652 |
| Tatoeba-test.eng-lit.eng.lit | 37.1 | 0.650 |
| Tatoeba-test.eng.multi | 37.0 | 0.616 |
| Tatoeba-test.eng-prg.eng.prg | 0.5 | 0.130 |
| Tatoeba-test.eng-sgs.eng.sgs | 4.1 | 0.178 |
### System Info:
- hf_name: eng-bat
- source_languages: eng
- target_languages: bat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'lt', 'lv', 'bat']
- src_constituents: {'eng'}
- tgt_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: bat
- short_pair: en-bat
- chrF2_score: 0.616
- bleu: 37.0
- brevity_penalty: 0.956
- ref_len: 26417.0
- src_name: English
- tgt_name: Baltic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: bat
- prefer_old: False
- long_pair: eng-bat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "lt", "lv", "bat"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-bat | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"lt",
"lv",
"bat",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-bcl
* source languages: en
* target languages: bcl
* OPUS readme: [en-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bcl/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.zip)
* test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.test.txt)
* test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.bcl | 54.3 | 0.722 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-bcl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"bcl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-bem
* source languages: en
* target languages: bem
* OPUS readme: [en-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bem/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.bem | 29.7 | 0.532 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-bem | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"bem",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ber
* source languages: en
* target languages: ber
* OPUS readme: [en-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ber/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ber | 29.7 | 0.544 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ber | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ber",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-bul
* source group: English
* target group: Bulgarian
* OPUS readme: [eng-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bul/README.md)
* model: transformer
* source language(s): eng
* target language(s): bul bul_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.bul | 50.6 | 0.680 |
### System Info:
- hf_name: eng-bul
- source_languages: eng
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'bg']
- src_constituents: {'eng'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bul/opus-2020-07-03.test.txt
- src_alpha3: eng
- tgt_alpha3: bul
- short_pair: en-bg
- chrF2_score: 0.68
- bleu: 50.6
- brevity_penalty: 0.96
- ref_len: 69504.0
- src_name: English
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: en
- tgt_alpha2: bg
- prefer_old: False
- long_pair: eng-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "bg"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-bg | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"bg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-bi
* source languages: en
* target languages: bi
* OPUS readme: [en-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.bi | 36.4 | 0.543 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-bi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"bi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-bnt
* source group: English
* target group: Bantu languages
* OPUS readme: [eng-bnt](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bnt/README.md)
* model: transformer
* source language(s): eng
* target language(s): kin lin lug nya run sna swh toi_Latn tso umb xho zul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kin.eng.kin | 12.5 | 0.519 |
| Tatoeba-test.eng-lin.eng.lin | 1.1 | 0.277 |
| Tatoeba-test.eng-lug.eng.lug | 4.8 | 0.415 |
| Tatoeba-test.eng.multi | 12.1 | 0.449 |
| Tatoeba-test.eng-nya.eng.nya | 22.1 | 0.616 |
| Tatoeba-test.eng-run.eng.run | 13.2 | 0.492 |
| Tatoeba-test.eng-sna.eng.sna | 32.1 | 0.669 |
| Tatoeba-test.eng-swa.eng.swa | 1.7 | 0.180 |
| Tatoeba-test.eng-toi.eng.toi | 10.7 | 0.266 |
| Tatoeba-test.eng-tso.eng.tso | 26.9 | 0.631 |
| Tatoeba-test.eng-umb.eng.umb | 5.2 | 0.295 |
| Tatoeba-test.eng-xho.eng.xho | 22.6 | 0.615 |
| Tatoeba-test.eng-zul.eng.zul | 41.1 | 0.769 |
### System Info:
- hf_name: eng-bnt
- source_languages: eng
- target_languages: bnt
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bnt/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'sn', 'zu', 'rw', 'lg', 'ts', 'ln', 'ny', 'xh', 'rn', 'bnt']
- src_constituents: {'eng'}
- tgt_constituents: {'sna', 'zul', 'kin', 'lug', 'tso', 'lin', 'nya', 'xho', 'swh', 'run', 'toi_Latn', 'umb'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bnt/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: bnt
- short_pair: en-bnt
- chrF2_score: 0.449
- bleu: 12.1
- brevity_penalty: 1.0
- ref_len: 9989.0
- src_name: English
- tgt_name: Bantu languages
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: bnt
- prefer_old: False
- long_pair: eng-bnt
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "sn", "zu", "rw", "lg", "ts", "ln", "ny", "xh", "rn", "bnt"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-bnt | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"sn",
"zu",
"rw",
"lg",
"ts",
"ln",
"ny",
"xh",
"rn",
"bnt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-bzs
* source languages: en
* target languages: bzs
* OPUS readme: [en-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bzs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bzs/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bzs/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bzs/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.bzs | 43.4 | 0.612 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-bzs | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"bzs",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ca
* source languages: en
* target languages: ca
* OPUS readme: [en-ca](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ca/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ca/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ca/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ca/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ca | 47.2 | 0.665 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ca | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ca",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ceb
* source languages: en
* target languages: ceb
* OPUS readme: [en-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ceb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ceb | 51.3 | 0.704 |
| Tatoeba.en.ceb | 31.3 | 0.600 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ceb | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ceb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-cel
* source group: English
* target group: Celtic languages
* OPUS readme: [eng-cel](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cel/README.md)
* model: transformer
* source language(s): eng
* target language(s): bre cor cym gla gle glv
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-bre.eng.bre | 11.5 | 0.338 |
| Tatoeba-test.eng-cor.eng.cor | 0.3 | 0.095 |
| Tatoeba-test.eng-cym.eng.cym | 31.0 | 0.549 |
| Tatoeba-test.eng-gla.eng.gla | 7.6 | 0.317 |
| Tatoeba-test.eng-gle.eng.gle | 35.9 | 0.582 |
| Tatoeba-test.eng-glv.eng.glv | 9.9 | 0.454 |
| Tatoeba-test.eng.multi | 18.0 | 0.342 |
### System Info:
- hf_name: eng-cel
- source_languages: eng
- target_languages: cel
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cel/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'gd', 'ga', 'br', 'kw', 'gv', 'cy', 'cel']
- src_constituents: {'eng'}
- tgt_constituents: {'gla', 'gle', 'bre', 'cor', 'glv', 'cym'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cel/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cel
- short_pair: en-cel
- chrF2_score: 0.342
- bleu: 18.0
- brevity_penalty: 0.9590000000000001
- ref_len: 45370.0
- src_name: English
- tgt_name: Celtic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cel
- prefer_old: False
- long_pair: eng-cel
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "gd", "ga", "br", "kw", "gv", "cy", "cel"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-cel | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"gd",
"ga",
"br",
"kw",
"gv",
"cy",
"cel",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-chk
* source languages: en
* target languages: chk
* OPUS readme: [en-chk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-chk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-chk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-chk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-chk/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.chk | 26.1 | 0.468 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-chk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"chk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-cpf
* source group: English
* target group: Creoles and pidgins, French‑based
* OPUS readme: [eng-cpf](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpf/README.md)
* model: transformer
* source language(s): eng
* target language(s): gcf_Latn hat mfe
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-gcf.eng.gcf | 6.2 | 0.262 |
| Tatoeba-test.eng-hat.eng.hat | 25.7 | 0.451 |
| Tatoeba-test.eng-mfe.eng.mfe | 80.1 | 0.900 |
| Tatoeba-test.eng.multi | 15.9 | 0.354 |
### System Info:
- hf_name: eng-cpf
- source_languages: eng
- target_languages: cpf
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpf/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ht', 'cpf']
- src_constituents: {'eng'}
- tgt_constituents: {'gcf_Latn', 'hat', 'mfe'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpf/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: cpf
- short_pair: en-cpf
- chrF2_score: 0.354
- bleu: 15.9
- brevity_penalty: 1.0
- ref_len: 1012.0
- src_name: English
- tgt_name: Creoles and pidgins, French‑based
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: cpf
- prefer_old: False
- long_pair: eng-cpf
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "ht", "cpf"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-cpf | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ht",
"cpf",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-cpp
* source group: English
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: [eng-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md)
* model: transformer
* source language(s): eng
* target language(s): ind max_Latn min pap tmw_Latn zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-msa.eng.msa | 32.6 | 0.573 |
| Tatoeba-test.eng.multi | 32.7 | 0.574 |
| Tatoeba-test.eng-pap.eng.pap | 42.5 | 0.633 |
### System Info:
- hf_name: eng-cpp
- source_languages: eng
- target_languages: cpp
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cpp/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'id', 'cpp']
- src_constituents: {'eng'}
- tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cpp/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cpp
- short_pair: en-cpp
- chrF2_score: 0.574
- bleu: 32.7
- brevity_penalty: 0.996
- ref_len: 34010.0
- src_name: English
- tgt_name: Creoles and pidgins, Portuguese-based
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cpp
- prefer_old: False
- long_pair: eng-cpp
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "id", "cpp"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-cpp | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"id",
"cpp",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-crs
* source languages: en
* target languages: crs
* OPUS readme: [en-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-crs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.crs | 45.2 | 0.617 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-crs | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"crs",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-cs
* source languages: en
* target languages: cs
* OPUS readme: [en-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-cs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cs/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.en.cs | 22.8 | 0.507 |
| news-test2008.en.cs | 20.7 | 0.485 |
| newstest2009.en.cs | 21.8 | 0.500 |
| newstest2010.en.cs | 22.1 | 0.505 |
| newstest2011.en.cs | 23.2 | 0.507 |
| newstest2012.en.cs | 20.8 | 0.482 |
| newstest2013.en.cs | 24.7 | 0.514 |
| newstest2015-encs.en.cs | 24.9 | 0.527 |
| newstest2016-encs.en.cs | 26.7 | 0.540 |
| newstest2017-encs.en.cs | 22.7 | 0.503 |
| newstest2018-encs.en.cs | 22.9 | 0.504 |
| newstest2019-encs.en.cs | 24.9 | 0.518 |
| Tatoeba.en.cs | 46.1 | 0.647 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-cs | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"cs",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-cus
* source group: English
* target group: Cushitic languages
* OPUS readme: [eng-cus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cus/README.md)
* model: transformer
* source language(s): eng
* target language(s): som
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.multi | 16.0 | 0.173 |
| Tatoeba-test.eng-som.eng.som | 16.0 | 0.173 |
### System Info:
- hf_name: eng-cus
- source_languages: eng
- target_languages: cus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-cus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'so', 'cus']
- src_constituents: {'eng'}
- tgt_constituents: {'som'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-cus/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: cus
- short_pair: en-cus
- chrF2_score: 0.17300000000000001
- bleu: 16.0
- brevity_penalty: 1.0
- ref_len: 3.0
- src_name: English
- tgt_name: Cushitic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: cus
- prefer_old: False
- long_pair: eng-cus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "so", "cus"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-cus | null | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"en",
"so",
"cus",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-cy
* source languages: en
* target languages: cy
* OPUS readme: [en-cy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-cy/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-cy/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.cy | 25.3 | 0.487 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-cy | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"cy",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-da
* source languages: en
* target languages: da
* OPUS readme: [en-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-da/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.da | 60.4 | 0.745 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-da | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"da",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-de
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#evaluation)
- [Citation Information](#citation-information)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
## Model Details
**Model Description:**
- **Developed by:** Language Technology Research Group at the University of Helsinki
- **Model Type:** Translation
- **Language(s):**
- Source Language: English
- Target Language: German
- **License:** CC-BY-4.0
- **Resources for more information:**
- [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
## Uses
#### Direct Use
This model can be used for translation and text-to-text generation.
## Risks, Limitations and Biases
**CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.**
Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
Further details about the dataset for this model can be found in the OPUS readme: [en-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-de/README.md)
#### Training Data
##### Preprocessing
* pre-processing: normalization + SentencePiece
* dataset: [opus](https://github.com/Helsinki-NLP/Opus-MT)
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.test.txt)
## Evaluation
#### Results
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.eval.txt)
#### Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.en.de | 23.5 | 0.540 |
| news-test2008.en.de | 23.5 | 0.529 |
| newstest2009.en.de | 22.3 | 0.530 |
| newstest2010.en.de | 24.9 | 0.544 |
| newstest2011.en.de | 22.5 | 0.524 |
| newstest2012.en.de | 23.0 | 0.525 |
| newstest2013.en.de | 26.9 | 0.553 |
| newstest2015-ende.en.de | 31.1 | 0.594 |
| newstest2016-ende.en.de | 37.0 | 0.636 |
| newstest2017-ende.en.de | 29.9 | 0.586 |
| newstest2018-ende.en.de | 45.2 | 0.690 |
| newstest2019-ende.en.de | 40.9 | 0.654 |
| Tatoeba.en.de | 47.3 | 0.664 |
## Citation Information
```bibtex
@InProceedings{TiedemannThottingal:EAMT2020,
author = {J{\"o}rg Tiedemann and Santhosh Thottingal},
title = {{OPUS-MT} — {B}uilding open translation services for the {W}orld},
booktitle = {Proceedings of the 22nd Annual Conferenec of the European Association for Machine Translation (EAMT)},
year = {2020},
address = {Lisbon, Portugal}
}
```
## How to Get Started With the Model
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-de")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-de")
```
| {"license": "cc-by-4.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-de | null | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"de",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-dra
* source group: English
* target group: Dravidian languages
* OPUS readme: [eng-dra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-dra/README.md)
* model: transformer
* source language(s): eng
* target language(s): kan mal tam tel
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kan.eng.kan | 4.7 | 0.348 |
| Tatoeba-test.eng-mal.eng.mal | 13.1 | 0.515 |
| Tatoeba-test.eng.multi | 10.7 | 0.463 |
| Tatoeba-test.eng-tam.eng.tam | 9.0 | 0.444 |
| Tatoeba-test.eng-tel.eng.tel | 7.1 | 0.363 |
### System Info:
- hf_name: eng-dra
- source_languages: eng
- target_languages: dra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-dra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ta', 'kn', 'ml', 'te', 'dra']
- src_constituents: {'eng'}
- tgt_constituents: {'tam', 'kan', 'mal', 'tel'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-dra/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: dra
- short_pair: en-dra
- chrF2_score: 0.46299999999999997
- bleu: 10.7
- brevity_penalty: 1.0
- ref_len: 7928.0
- src_name: English
- tgt_name: Dravidian languages
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: dra
- prefer_old: False
- long_pair: eng-dra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "ta", "kn", "ml", "te", "dra"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-dra | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ta",
"kn",
"ml",
"te",
"dra",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ee
* source languages: en
* target languages: ee
* OPUS readme: [en-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ee | 38.2 | 0.591 |
| Tatoeba.en.ee | 6.0 | 0.347 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ee | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ee",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-efi
* source languages: en
* target languages: efi
* OPUS readme: [en-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-efi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.efi | 38.0 | 0.568 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-efi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"efi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-el
* source languages: en
* target languages: el
* OPUS readme: [en-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-el/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-el/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-el/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-el/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.el | 56.4 | 0.745 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-el | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"el",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-eo
* source languages: en
* target languages: eo
* OPUS readme: [en-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-eo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-eo/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-eo/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-eo/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.eo | 49.5 | 0.682 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-eo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-spa
* source group: English
* target group: Spanish
* OPUS readme: [eng-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-spa/README.md)
* model: transformer
* source language(s): eng
* target language(s): spa
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-08-18.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.zip)
* test set translations: [opus-2020-08-18.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.test.txt)
* test set scores: [opus-2020-08-18.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engspa.eng.spa | 31.0 | 0.583 |
| news-test2008-engspa.eng.spa | 29.7 | 0.564 |
| newstest2009-engspa.eng.spa | 30.2 | 0.578 |
| newstest2010-engspa.eng.spa | 36.9 | 0.620 |
| newstest2011-engspa.eng.spa | 38.2 | 0.619 |
| newstest2012-engspa.eng.spa | 39.0 | 0.625 |
| newstest2013-engspa.eng.spa | 35.0 | 0.598 |
| Tatoeba-test.eng.spa | 54.9 | 0.721 |
### System Info:
- hf_name: eng-spa
- source_languages: eng
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'es']
- src_constituents: {'eng'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-spa/opus-2020-08-18.test.txt
- src_alpha3: eng
- tgt_alpha3: spa
- short_pair: en-es
- chrF2_score: 0.721
- bleu: 54.9
- brevity_penalty: 0.978
- ref_len: 77311.0
- src_name: English
- tgt_name: Spanish
- train_date: 2020-08-18 00:00:00
- src_alpha2: en
- tgt_alpha2: es
- prefer_old: False
- long_pair: eng-spa
- helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82
- transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9
- port_machine: brutasse
- port_time: 2020-08-24-18:20 | {"language": ["en", "es"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-es | null | [
"transformers",
"pytorch",
"tf",
"jax",
"marian",
"text2text-generation",
"translation",
"en",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-et
* source languages: en
* target languages: et
* OPUS readme: [en-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-et/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-et/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2018-enet.en.et | 21.8 | 0.540 |
| newstest2018-enet.en.et | 23.3 | 0.556 |
| Tatoeba.en.et | 54.0 | 0.717 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-et | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"et",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-eus
* source group: English
* target group: Basque
* OPUS readme: [eng-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-eus/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): eus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.eus | 31.8 | 0.590 |
### System Info:
- hf_name: eng-eus
- source_languages: eng
- target_languages: eus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-eus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'eu']
- src_constituents: {'eng'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-eus/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: eus
- short_pair: en-eu
- chrF2_score: 0.59
- bleu: 31.8
- brevity_penalty: 0.9440000000000001
- ref_len: 7080.0
- src_name: English
- tgt_name: Basque
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: eu
- prefer_old: False
- long_pair: eng-eus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "eu"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-eu | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"eu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-euq
* source group: English
* target group: Basque (family)
* OPUS readme: [eng-euq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-euq/README.md)
* model: transformer
* source language(s): eng
* target language(s): eus
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.eus | 27.9 | 0.555 |
| Tatoeba-test.eng-eus.eng.eus | 27.9 | 0.555 |
### System Info:
- hf_name: eng-euq
- source_languages: eng
- target_languages: euq
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-euq/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'euq']
- src_constituents: {'eng'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-euq/opus-2020-07-26.test.txt
- src_alpha3: eng
- tgt_alpha3: euq
- short_pair: en-euq
- chrF2_score: 0.555
- bleu: 27.9
- brevity_penalty: 0.917
- ref_len: 7080.0
- src_name: English
- tgt_name: Basque (family)
- train_date: 2020-07-26
- src_alpha2: en
- tgt_alpha2: euq
- prefer_old: False
- long_pair: eng-euq
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "euq"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-euq | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"euq",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-fi
* source languages: en
* target languages: fi
* OPUS readme: [en-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fi/README.md)
* dataset: opus+bt-news
* model: transformer
* pre-processing: normalization + SentencePiece
* download original weights: [opus+bt-news-2020-03-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.zip)
* test set translations: [opus+bt-news-2020-03-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.test.txt)
* test set scores: [opus+bt-news-2020-03-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-news-2020-03-21.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newstest2019-enfi.en.fi | 25.7 | 0.578 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-fi | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-fiu
* source group: English
* target group: Finno-Ugrian languages
* OPUS readme: [eng-fiu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-fiu/README.md)
* model: transformer
* source language(s): eng
* target language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-engfin.eng.fin | 18.7 | 0.522 |
| newsdev2018-enet-engest.eng.est | 19.4 | 0.521 |
| newssyscomb2009-enghun.eng.hun | 15.5 | 0.472 |
| newstest2009-enghun.eng.hun | 15.4 | 0.468 |
| newstest2015-enfi-engfin.eng.fin | 19.9 | 0.532 |
| newstest2016-enfi-engfin.eng.fin | 21.1 | 0.544 |
| newstest2017-enfi-engfin.eng.fin | 23.8 | 0.567 |
| newstest2018-enet-engest.eng.est | 20.4 | 0.532 |
| newstest2018-enfi-engfin.eng.fin | 15.6 | 0.498 |
| newstest2019-enfi-engfin.eng.fin | 20.0 | 0.520 |
| newstestB2016-enfi-engfin.eng.fin | 17.0 | 0.512 |
| newstestB2017-enfi-engfin.eng.fin | 19.7 | 0.531 |
| Tatoeba-test.eng-chm.eng.chm | 0.9 | 0.115 |
| Tatoeba-test.eng-est.eng.est | 49.8 | 0.689 |
| Tatoeba-test.eng-fin.eng.fin | 34.7 | 0.597 |
| Tatoeba-test.eng-fkv.eng.fkv | 1.3 | 0.187 |
| Tatoeba-test.eng-hun.eng.hun | 35.2 | 0.589 |
| Tatoeba-test.eng-izh.eng.izh | 6.0 | 0.163 |
| Tatoeba-test.eng-kom.eng.kom | 3.4 | 0.012 |
| Tatoeba-test.eng-krl.eng.krl | 6.4 | 0.202 |
| Tatoeba-test.eng-liv.eng.liv | 1.6 | 0.102 |
| Tatoeba-test.eng-mdf.eng.mdf | 3.7 | 0.008 |
| Tatoeba-test.eng.multi | 35.4 | 0.590 |
| Tatoeba-test.eng-myv.eng.myv | 1.4 | 0.014 |
| Tatoeba-test.eng-sma.eng.sma | 2.6 | 0.097 |
| Tatoeba-test.eng-sme.eng.sme | 7.3 | 0.221 |
| Tatoeba-test.eng-udm.eng.udm | 1.4 | 0.079 |
### System Info:
- hf_name: eng-fiu
- source_languages: eng
- target_languages: fiu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-fiu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'se', 'fi', 'hu', 'et', 'fiu']
- src_constituents: {'eng'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-fiu/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: fiu
- short_pair: en-fiu
- chrF2_score: 0.59
- bleu: 35.4
- brevity_penalty: 0.9440000000000001
- ref_len: 59311.0
- src_name: English
- tgt_name: Finno-Ugrian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: fiu
- prefer_old: False
- long_pair: eng-fiu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "se", "fi", "hu", "et", "fiu"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-fiu | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"se",
"fi",
"hu",
"et",
"fiu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-fj
* source languages: en
* target languages: fj
* OPUS readme: [en-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fj/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.fj | 34.0 | 0.561 |
| Tatoeba.en.fj | 62.5 | 0.781 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-fj | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"fj",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-fr
* source languages: en
* target languages: fr
* OPUS readme: [en-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdiscussdev2015-enfr.en.fr | 33.8 | 0.602 |
| newsdiscusstest2015-enfr.en.fr | 40.0 | 0.643 |
| newssyscomb2009.en.fr | 29.8 | 0.584 |
| news-test2008.en.fr | 27.5 | 0.554 |
| newstest2009.en.fr | 29.4 | 0.577 |
| newstest2010.en.fr | 32.7 | 0.596 |
| newstest2011.en.fr | 34.3 | 0.611 |
| newstest2012.en.fr | 31.8 | 0.592 |
| newstest2013.en.fr | 33.2 | 0.589 |
| Tatoeba.en.fr | 50.5 | 0.672 | | {"license": "apache-2.0", "pipeline_tag": "translation"} | Helsinki-NLP/opus-mt-en-fr | null | [
"transformers",
"pytorch",
"tf",
"jax",
"marian",
"text2text-generation",
"translation",
"en",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-gle
* source group: English
* target group: Irish
* OPUS readme: [eng-gle](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gle/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): gle
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.gle | 37.5 | 0.593 |
### System Info:
- hf_name: eng-gle
- source_languages: eng
- target_languages: gle
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gle/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ga']
- src_constituents: {'eng'}
- tgt_constituents: {'gle'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gle/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: gle
- short_pair: en-ga
- chrF2_score: 0.593
- bleu: 37.5
- brevity_penalty: 1.0
- ref_len: 12200.0
- src_name: English
- tgt_name: Irish
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: ga
- prefer_old: False
- long_pair: eng-gle
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "ga"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ga | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ga",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-gaa
* source languages: en
* target languages: gaa
* OPUS readme: [en-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gaa/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gaa/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gaa/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gaa/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.gaa | 39.9 | 0.593 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-gaa | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"gaa",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-gem
* source group: English
* target group: Germanic languages
* OPUS readme: [eng-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gem/README.md)
* model: transformer
* source language(s): eng
* target language(s): afr ang_Latn dan deu enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engdeu.eng.deu | 20.9 | 0.521 |
| news-test2008-engdeu.eng.deu | 21.1 | 0.511 |
| newstest2009-engdeu.eng.deu | 20.5 | 0.516 |
| newstest2010-engdeu.eng.deu | 22.5 | 0.526 |
| newstest2011-engdeu.eng.deu | 20.5 | 0.508 |
| newstest2012-engdeu.eng.deu | 20.8 | 0.507 |
| newstest2013-engdeu.eng.deu | 24.6 | 0.534 |
| newstest2015-ende-engdeu.eng.deu | 27.9 | 0.569 |
| newstest2016-ende-engdeu.eng.deu | 33.2 | 0.607 |
| newstest2017-ende-engdeu.eng.deu | 26.5 | 0.560 |
| newstest2018-ende-engdeu.eng.deu | 39.4 | 0.648 |
| newstest2019-ende-engdeu.eng.deu | 35.0 | 0.613 |
| Tatoeba-test.eng-afr.eng.afr | 56.5 | 0.745 |
| Tatoeba-test.eng-ang.eng.ang | 6.7 | 0.154 |
| Tatoeba-test.eng-dan.eng.dan | 58.0 | 0.726 |
| Tatoeba-test.eng-deu.eng.deu | 40.3 | 0.615 |
| Tatoeba-test.eng-enm.eng.enm | 1.4 | 0.215 |
| Tatoeba-test.eng-fao.eng.fao | 7.2 | 0.304 |
| Tatoeba-test.eng-frr.eng.frr | 5.5 | 0.159 |
| Tatoeba-test.eng-fry.eng.fry | 19.4 | 0.433 |
| Tatoeba-test.eng-gos.eng.gos | 1.0 | 0.182 |
| Tatoeba-test.eng-got.eng.got | 0.3 | 0.012 |
| Tatoeba-test.eng-gsw.eng.gsw | 0.9 | 0.130 |
| Tatoeba-test.eng-isl.eng.isl | 23.4 | 0.505 |
| Tatoeba-test.eng-ksh.eng.ksh | 1.1 | 0.141 |
| Tatoeba-test.eng-ltz.eng.ltz | 20.3 | 0.379 |
| Tatoeba-test.eng.multi | 46.5 | 0.641 |
| Tatoeba-test.eng-nds.eng.nds | 20.6 | 0.458 |
| Tatoeba-test.eng-nld.eng.nld | 53.4 | 0.702 |
| Tatoeba-test.eng-non.eng.non | 0.6 | 0.166 |
| Tatoeba-test.eng-nor.eng.nor | 50.3 | 0.679 |
| Tatoeba-test.eng-pdc.eng.pdc | 3.9 | 0.189 |
| Tatoeba-test.eng-sco.eng.sco | 33.0 | 0.542 |
| Tatoeba-test.eng-stq.eng.stq | 2.3 | 0.274 |
| Tatoeba-test.eng-swe.eng.swe | 57.9 | 0.719 |
| Tatoeba-test.eng-swg.eng.swg | 1.2 | 0.171 |
| Tatoeba-test.eng-yid.eng.yid | 7.2 | 0.304 |
### System Info:
- hf_name: eng-gem
- source_languages: eng
- target_languages: gem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'lb', 'yi', 'gem']
- src_constituents: {'eng'}
- tgt_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: gem
- short_pair: en-gem
- chrF2_score: 0.6409999999999999
- bleu: 46.5
- brevity_penalty: 0.9790000000000001
- ref_len: 73328.0
- src_name: English
- tgt_name: Germanic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: gem
- prefer_old: False
- long_pair: eng-gem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "da", "sv", "af", "nn", "fy", "fo", "de", "nb", "nl", "is", "lb", "yi", "gem"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-gem | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"da",
"sv",
"af",
"nn",
"fy",
"fo",
"de",
"nb",
"nl",
"is",
"lb",
"yi",
"gem",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-gil
* source languages: en
* target languages: gil
* OPUS readme: [en-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gil/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.gil | 38.8 | 0.604 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-gil | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"gil",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-gl
* source languages: en
* target languages: gl
* OPUS readme: [en-gl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gl/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gl/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gl/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.gl | 36.4 | 0.572 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-gl | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"gl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-gmq
* source group: English
* target group: North Germanic languages
* OPUS readme: [eng-gmq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md)
* model: transformer
* source language(s): eng
* target language(s): dan fao isl nno nob nob_Hebr non_Latn swe
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-dan.eng.dan | 57.7 | 0.724 |
| Tatoeba-test.eng-fao.eng.fao | 9.2 | 0.322 |
| Tatoeba-test.eng-isl.eng.isl | 23.8 | 0.506 |
| Tatoeba-test.eng.multi | 52.8 | 0.688 |
| Tatoeba-test.eng-non.eng.non | 0.7 | 0.196 |
| Tatoeba-test.eng-nor.eng.nor | 50.3 | 0.678 |
| Tatoeba-test.eng-swe.eng.swe | 57.8 | 0.717 |
### System Info:
- hf_name: eng-gmq
- source_languages: eng
- target_languages: gmq
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'da', 'nb', 'sv', 'is', 'nn', 'fo', 'gmq']
- src_constituents: {'eng'}
- tgt_constituents: {'dan', 'nob', 'nob_Hebr', 'swe', 'isl', 'nno', 'non_Latn', 'fao'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmq/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: gmq
- short_pair: en-gmq
- chrF2_score: 0.688
- bleu: 52.8
- brevity_penalty: 0.973
- ref_len: 71881.0
- src_name: English
- tgt_name: North Germanic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: gmq
- prefer_old: False
- long_pair: eng-gmq
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "da", "nb", "sv", "is", "nn", "fo", "gmq"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-gmq | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"da",
"nb",
"sv",
"is",
"nn",
"fo",
"gmq",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-gmw
* source group: English
* target group: West Germanic languages
* OPUS readme: [eng-gmw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmw/README.md)
* model: transformer
* source language(s): eng
* target language(s): afr ang_Latn deu enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engdeu.eng.deu | 21.4 | 0.518 |
| news-test2008-engdeu.eng.deu | 21.0 | 0.510 |
| newstest2009-engdeu.eng.deu | 20.4 | 0.513 |
| newstest2010-engdeu.eng.deu | 22.9 | 0.528 |
| newstest2011-engdeu.eng.deu | 20.5 | 0.508 |
| newstest2012-engdeu.eng.deu | 21.0 | 0.507 |
| newstest2013-engdeu.eng.deu | 24.7 | 0.533 |
| newstest2015-ende-engdeu.eng.deu | 28.2 | 0.568 |
| newstest2016-ende-engdeu.eng.deu | 33.3 | 0.605 |
| newstest2017-ende-engdeu.eng.deu | 26.5 | 0.559 |
| newstest2018-ende-engdeu.eng.deu | 39.9 | 0.649 |
| newstest2019-ende-engdeu.eng.deu | 35.9 | 0.616 |
| Tatoeba-test.eng-afr.eng.afr | 55.7 | 0.740 |
| Tatoeba-test.eng-ang.eng.ang | 6.5 | 0.164 |
| Tatoeba-test.eng-deu.eng.deu | 40.4 | 0.614 |
| Tatoeba-test.eng-enm.eng.enm | 2.3 | 0.254 |
| Tatoeba-test.eng-frr.eng.frr | 8.4 | 0.248 |
| Tatoeba-test.eng-fry.eng.fry | 17.9 | 0.424 |
| Tatoeba-test.eng-gos.eng.gos | 2.2 | 0.309 |
| Tatoeba-test.eng-gsw.eng.gsw | 1.6 | 0.186 |
| Tatoeba-test.eng-ksh.eng.ksh | 1.5 | 0.189 |
| Tatoeba-test.eng-ltz.eng.ltz | 20.2 | 0.383 |
| Tatoeba-test.eng.multi | 41.6 | 0.609 |
| Tatoeba-test.eng-nds.eng.nds | 18.9 | 0.437 |
| Tatoeba-test.eng-nld.eng.nld | 53.1 | 0.699 |
| Tatoeba-test.eng-pdc.eng.pdc | 7.7 | 0.262 |
| Tatoeba-test.eng-sco.eng.sco | 37.7 | 0.557 |
| Tatoeba-test.eng-stq.eng.stq | 5.9 | 0.380 |
| Tatoeba-test.eng-swg.eng.swg | 6.2 | 0.236 |
| Tatoeba-test.eng-yid.eng.yid | 6.8 | 0.296 |
### System Info:
- hf_name: eng-gmw
- source_languages: eng
- target_languages: gmw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'nl', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']
- src_constituents: {'eng'}
- tgt_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: gmw
- short_pair: en-gmw
- chrF2_score: 0.609
- bleu: 41.6
- brevity_penalty: 0.9890000000000001
- ref_len: 74922.0
- src_name: English
- tgt_name: West Germanic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: gmw
- prefer_old: False
- long_pair: eng-gmw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "nl", "lb", "af", "de", "fy", "yi", "gmw"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-gmw | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"nl",
"lb",
"af",
"de",
"fy",
"yi",
"gmw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-grk
* source group: English
* target group: Greek languages
* OPUS readme: [eng-grk](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-grk/README.md)
* model: transformer
* source language(s): eng
* target language(s): ell grc_Grek
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-ell.eng.ell | 53.8 | 0.723 |
| Tatoeba-test.eng-grc.eng.grc | 0.1 | 0.102 |
| Tatoeba-test.eng.multi | 45.6 | 0.677 |
### System Info:
- hf_name: eng-grk
- source_languages: eng
- target_languages: grk
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-grk/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'el', 'grk']
- src_constituents: {'eng'}
- tgt_constituents: {'grc_Grek', 'ell'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-grk/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: grk
- short_pair: en-grk
- chrF2_score: 0.677
- bleu: 45.6
- brevity_penalty: 1.0
- ref_len: 59951.0
- src_name: English
- tgt_name: Greek languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: grk
- prefer_old: False
- long_pair: eng-grk
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "el", "grk"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-grk | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"el",
"grk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-guw
* source languages: en
* target languages: guw
* OPUS readme: [en-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-guw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.guw | 45.7 | 0.634 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-guw | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"guw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-gv
* source languages: en
* target languages: gv
* OPUS readme: [en-gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-gv/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| bible-uedin.en.gv | 70.1 | 0.885 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-gv | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"gv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ha
* source languages: en
* target languages: ha
* OPUS readme: [en-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ha/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ha/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ha/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ha/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ha | 34.1 | 0.544 |
| Tatoeba.en.ha | 17.6 | 0.498 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ha | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ha",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-he
* source languages: en
* target languages: he
* OPUS readme: [en-he](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-he/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-he/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.he | 40.1 | 0.609 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-he | null | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"he",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-hin
* source group: English
* target group: Hindi
* OPUS readme: [eng-hin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hin/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): hin
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2014.eng.hin | 6.9 | 0.296 |
| newstest2014-hien.eng.hin | 9.9 | 0.323 |
| Tatoeba-test.eng.hin | 16.1 | 0.447 |
### System Info:
- hf_name: eng-hin
- source_languages: eng
- target_languages: hin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'hi']
- src_constituents: {'eng'}
- tgt_constituents: {'hin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hin/opus-2020-06-17.test.txt
- src_alpha3: eng
- tgt_alpha3: hin
- short_pair: en-hi
- chrF2_score: 0.447
- bleu: 16.1
- brevity_penalty: 1.0
- ref_len: 32904.0
- src_name: English
- tgt_name: Hindi
- train_date: 2020-06-17
- src_alpha2: en
- tgt_alpha2: hi
- prefer_old: False
- long_pair: eng-hin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "hi"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-hi | null | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"en",
"hi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-hil
* source languages: en
* target languages: hil
* OPUS readme: [en-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-hil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-hil/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hil/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hil/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.hil | 49.4 | 0.696 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-hil | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"hil",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ho
* source languages: en
* target languages: ho
* OPUS readme: [en-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ho/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ho/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ho | 33.9 | 0.563 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ho | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ho",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ht
* source languages: en
* target languages: ht
* OPUS readme: [en-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ht/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ht/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ht/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ht/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ht | 38.3 | 0.545 |
| Tatoeba.en.ht | 45.2 | 0.592 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ht | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ht",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-hu
* source languages: en
* target languages: hu
* OPUS readme: [en-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-hu/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.hu | 40.1 | 0.628 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-hu | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"hu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-hye
* source group: English
* target group: Armenian
* OPUS readme: [eng-hye](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): hye
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.hye | 16.6 | 0.404 |
### System Info:
- hf_name: eng-hye
- source_languages: eng
- target_languages: hye
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-hye/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'hy']
- src_constituents: {'eng'}
- tgt_constituents: {'hye', 'hye_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-hye/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: hye
- short_pair: en-hy
- chrF2_score: 0.40399999999999997
- bleu: 16.6
- brevity_penalty: 1.0
- ref_len: 5115.0
- src_name: English
- tgt_name: Armenian
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: hy
- prefer_old: False
- long_pair: eng-hye
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "hy"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-hy | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"hy",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-id
* source languages: en
* target languages: id
* OPUS readme: [en-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-id/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-id/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.id | 38.3 | 0.636 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-id | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"id",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ig
* source languages: en
* target languages: ig
* OPUS readme: [en-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ig/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ig/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ig/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ig/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ig | 39.5 | 0.546 |
| Tatoeba.en.ig | 3.8 | 0.297 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ig | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ig",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-iir
* source group: English
* target group: Indo-Iranian languages
* OPUS readme: [eng-iir](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-iir/README.md)
* model: transformer
* source language(s): eng
* target language(s): asm awa ben bho gom guj hif_Latn hin jdt_Cyrl kur_Arab kur_Latn mai mar npi ori oss pan_Guru pes pes_Latn pes_Thaa pnb pus rom san_Deva sin snd_Arab tgk_Cyrl tly_Latn urd zza
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin | 6.7 | 0.326 |
| newsdev2019-engu-engguj.eng.guj | 6.0 | 0.283 |
| newstest2014-hien-enghin.eng.hin | 10.4 | 0.353 |
| newstest2019-engu-engguj.eng.guj | 6.6 | 0.282 |
| Tatoeba-test.eng-asm.eng.asm | 2.7 | 0.249 |
| Tatoeba-test.eng-awa.eng.awa | 0.4 | 0.122 |
| Tatoeba-test.eng-ben.eng.ben | 15.3 | 0.459 |
| Tatoeba-test.eng-bho.eng.bho | 3.7 | 0.161 |
| Tatoeba-test.eng-fas.eng.fas | 3.4 | 0.227 |
| Tatoeba-test.eng-guj.eng.guj | 18.5 | 0.365 |
| Tatoeba-test.eng-hif.eng.hif | 1.0 | 0.064 |
| Tatoeba-test.eng-hin.eng.hin | 17.0 | 0.461 |
| Tatoeba-test.eng-jdt.eng.jdt | 3.9 | 0.122 |
| Tatoeba-test.eng-kok.eng.kok | 5.5 | 0.059 |
| Tatoeba-test.eng-kur.eng.kur | 4.0 | 0.125 |
| Tatoeba-test.eng-lah.eng.lah | 0.3 | 0.008 |
| Tatoeba-test.eng-mai.eng.mai | 9.3 | 0.445 |
| Tatoeba-test.eng-mar.eng.mar | 20.7 | 0.473 |
| Tatoeba-test.eng.multi | 13.7 | 0.392 |
| Tatoeba-test.eng-nep.eng.nep | 0.6 | 0.060 |
| Tatoeba-test.eng-ori.eng.ori | 2.4 | 0.193 |
| Tatoeba-test.eng-oss.eng.oss | 2.1 | 0.174 |
| Tatoeba-test.eng-pan.eng.pan | 9.7 | 0.355 |
| Tatoeba-test.eng-pus.eng.pus | 1.0 | 0.126 |
| Tatoeba-test.eng-rom.eng.rom | 1.3 | 0.230 |
| Tatoeba-test.eng-san.eng.san | 1.3 | 0.101 |
| Tatoeba-test.eng-sin.eng.sin | 11.7 | 0.384 |
| Tatoeba-test.eng-snd.eng.snd | 2.8 | 0.180 |
| Tatoeba-test.eng-tgk.eng.tgk | 8.1 | 0.353 |
| Tatoeba-test.eng-tly.eng.tly | 0.5 | 0.015 |
| Tatoeba-test.eng-urd.eng.urd | 12.3 | 0.409 |
| Tatoeba-test.eng-zza.eng.zza | 0.5 | 0.025 |
### System Info:
- hf_name: eng-iir
- source_languages: eng
- target_languages: iir
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-iir/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']
- src_constituents: {'eng'}
- tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-iir/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: iir
- short_pair: en-iir
- chrF2_score: 0.392
- bleu: 13.7
- brevity_penalty: 1.0
- ref_len: 63351.0
- src_name: English
- tgt_name: Indo-Iranian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: iir
- prefer_old: False
- long_pair: eng-iir
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "bn", "or", "gu", "mr", "ur", "hi", "ps", "os", "as", "si", "iir"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-iir | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"bn",
"or",
"gu",
"mr",
"ur",
"hi",
"ps",
"os",
"as",
"si",
"iir",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ilo
* source languages: en
* target languages: ilo
* OPUS readme: [en-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ilo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ilo/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ilo | 33.2 | 0.584 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ilo | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ilo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-inc
* source group: English
* target group: Indic languages
* OPUS readme: [eng-inc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-inc/README.md)
* model: transformer
* source language(s): eng
* target language(s): asm awa ben bho gom guj hif_Latn hin mai mar npi ori pan_Guru pnb rom san_Deva sin snd_Arab urd
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin | 8.2 | 0.342 |
| newsdev2019-engu-engguj.eng.guj | 6.5 | 0.293 |
| newstest2014-hien-enghin.eng.hin | 11.4 | 0.364 |
| newstest2019-engu-engguj.eng.guj | 7.2 | 0.296 |
| Tatoeba-test.eng-asm.eng.asm | 2.7 | 0.277 |
| Tatoeba-test.eng-awa.eng.awa | 0.5 | 0.132 |
| Tatoeba-test.eng-ben.eng.ben | 16.7 | 0.470 |
| Tatoeba-test.eng-bho.eng.bho | 4.3 | 0.227 |
| Tatoeba-test.eng-guj.eng.guj | 17.5 | 0.373 |
| Tatoeba-test.eng-hif.eng.hif | 0.6 | 0.028 |
| Tatoeba-test.eng-hin.eng.hin | 17.7 | 0.469 |
| Tatoeba-test.eng-kok.eng.kok | 1.7 | 0.000 |
| Tatoeba-test.eng-lah.eng.lah | 0.3 | 0.028 |
| Tatoeba-test.eng-mai.eng.mai | 15.6 | 0.429 |
| Tatoeba-test.eng-mar.eng.mar | 21.3 | 0.477 |
| Tatoeba-test.eng.multi | 17.3 | 0.448 |
| Tatoeba-test.eng-nep.eng.nep | 0.8 | 0.081 |
| Tatoeba-test.eng-ori.eng.ori | 2.2 | 0.208 |
| Tatoeba-test.eng-pan.eng.pan | 8.0 | 0.347 |
| Tatoeba-test.eng-rom.eng.rom | 0.4 | 0.197 |
| Tatoeba-test.eng-san.eng.san | 0.5 | 0.108 |
| Tatoeba-test.eng-sin.eng.sin | 9.1 | 0.364 |
| Tatoeba-test.eng-snd.eng.snd | 4.4 | 0.284 |
| Tatoeba-test.eng-urd.eng.urd | 13.3 | 0.423 |
### System Info:
- hf_name: eng-inc
- source_languages: eng
- target_languages: inc
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-inc/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'bn', 'or', 'gu', 'mr', 'ur', 'hi', 'as', 'si', 'inc']
- src_constituents: {'eng'}
- tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'bho', 'hin', 'san_Deva', 'asm', 'rom', 'mai', 'awa', 'sin'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-inc/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: inc
- short_pair: en-inc
- chrF2_score: 0.44799999999999995
- bleu: 17.3
- brevity_penalty: 1.0
- ref_len: 59917.0
- src_name: English
- tgt_name: Indic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: inc
- prefer_old: False
- long_pair: eng-inc
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "bn", "or", "gu", "mr", "ur", "hi", "as", "si", "inc"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-inc | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"bn",
"or",
"gu",
"mr",
"ur",
"hi",
"as",
"si",
"inc",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-ine
* source group: English
* target group: Indo-European languages
* OPUS readme: [eng-ine](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ine/README.md)
* model: transformer
* source language(s): eng
* target language(s): afr aln ang_Latn arg asm ast awa bel bel_Latn ben bho bos_Latn bre bul bul_Latn cat ces cor cos csb_Latn cym dan deu dsb egl ell enm_Latn ext fao fra frm_Latn frr fry gcf_Latn gla gle glg glv gom gos got_Goth grc_Grek gsw guj hat hif_Latn hin hrv hsb hye ind isl ita jdt_Cyrl ksh kur_Arab kur_Latn lad lad_Latn lat_Latn lav lij lit lld_Latn lmo ltg ltz mai mar max_Latn mfe min mkd mwl nds nld nno nob nob_Hebr non_Latn npi oci ori orv_Cyrl oss pan_Guru pap pdc pes pes_Latn pes_Thaa pms pnb pol por prg_Latn pus roh rom ron rue rus san_Deva scn sco sgs sin slv snd_Arab spa sqi srp_Cyrl srp_Latn stq swe swg tgk_Cyrl tly_Latn tmw_Latn ukr urd vec wln yid zlm_Latn zsm_Latn zza
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2014-enghin.eng.hin | 6.2 | 0.317 |
| newsdev2016-enro-engron.eng.ron | 22.1 | 0.525 |
| newsdev2017-enlv-englav.eng.lav | 17.4 | 0.486 |
| newsdev2019-engu-engguj.eng.guj | 6.5 | 0.303 |
| newsdev2019-enlt-englit.eng.lit | 14.9 | 0.476 |
| newsdiscussdev2015-enfr-engfra.eng.fra | 26.4 | 0.547 |
| newsdiscusstest2015-enfr-engfra.eng.fra | 30.0 | 0.575 |
| newssyscomb2009-engces.eng.ces | 14.7 | 0.442 |
| newssyscomb2009-engdeu.eng.deu | 16.7 | 0.487 |
| newssyscomb2009-engfra.eng.fra | 24.8 | 0.547 |
| newssyscomb2009-engita.eng.ita | 25.2 | 0.562 |
| newssyscomb2009-engspa.eng.spa | 27.0 | 0.554 |
| news-test2008-engces.eng.ces | 13.0 | 0.417 |
| news-test2008-engdeu.eng.deu | 17.4 | 0.480 |
| news-test2008-engfra.eng.fra | 22.3 | 0.519 |
| news-test2008-engspa.eng.spa | 24.9 | 0.532 |
| newstest2009-engces.eng.ces | 13.6 | 0.432 |
| newstest2009-engdeu.eng.deu | 16.6 | 0.482 |
| newstest2009-engfra.eng.fra | 23.5 | 0.535 |
| newstest2009-engita.eng.ita | 25.5 | 0.561 |
| newstest2009-engspa.eng.spa | 26.3 | 0.551 |
| newstest2010-engces.eng.ces | 14.2 | 0.436 |
| newstest2010-engdeu.eng.deu | 18.3 | 0.492 |
| newstest2010-engfra.eng.fra | 25.7 | 0.550 |
| newstest2010-engspa.eng.spa | 30.5 | 0.578 |
| newstest2011-engces.eng.ces | 15.1 | 0.439 |
| newstest2011-engdeu.eng.deu | 17.1 | 0.478 |
| newstest2011-engfra.eng.fra | 28.0 | 0.569 |
| newstest2011-engspa.eng.spa | 31.9 | 0.580 |
| newstest2012-engces.eng.ces | 13.6 | 0.418 |
| newstest2012-engdeu.eng.deu | 17.0 | 0.475 |
| newstest2012-engfra.eng.fra | 26.1 | 0.553 |
| newstest2012-engrus.eng.rus | 21.4 | 0.506 |
| newstest2012-engspa.eng.spa | 31.4 | 0.577 |
| newstest2013-engces.eng.ces | 15.3 | 0.438 |
| newstest2013-engdeu.eng.deu | 20.3 | 0.501 |
| newstest2013-engfra.eng.fra | 26.0 | 0.540 |
| newstest2013-engrus.eng.rus | 16.1 | 0.449 |
| newstest2013-engspa.eng.spa | 28.6 | 0.555 |
| newstest2014-hien-enghin.eng.hin | 9.5 | 0.344 |
| newstest2015-encs-engces.eng.ces | 14.8 | 0.440 |
| newstest2015-ende-engdeu.eng.deu | 22.6 | 0.523 |
| newstest2015-enru-engrus.eng.rus | 18.8 | 0.483 |
| newstest2016-encs-engces.eng.ces | 16.8 | 0.457 |
| newstest2016-ende-engdeu.eng.deu | 26.2 | 0.555 |
| newstest2016-enro-engron.eng.ron | 21.2 | 0.510 |
| newstest2016-enru-engrus.eng.rus | 17.6 | 0.471 |
| newstest2017-encs-engces.eng.ces | 13.6 | 0.421 |
| newstest2017-ende-engdeu.eng.deu | 21.5 | 0.516 |
| newstest2017-enlv-englav.eng.lav | 13.0 | 0.452 |
| newstest2017-enru-engrus.eng.rus | 18.7 | 0.486 |
| newstest2018-encs-engces.eng.ces | 13.5 | 0.425 |
| newstest2018-ende-engdeu.eng.deu | 29.8 | 0.581 |
| newstest2018-enru-engrus.eng.rus | 16.1 | 0.472 |
| newstest2019-encs-engces.eng.ces | 14.8 | 0.435 |
| newstest2019-ende-engdeu.eng.deu | 26.6 | 0.554 |
| newstest2019-engu-engguj.eng.guj | 6.9 | 0.313 |
| newstest2019-enlt-englit.eng.lit | 10.6 | 0.429 |
| newstest2019-enru-engrus.eng.rus | 17.5 | 0.452 |
| Tatoeba-test.eng-afr.eng.afr | 52.1 | 0.708 |
| Tatoeba-test.eng-ang.eng.ang | 5.1 | 0.131 |
| Tatoeba-test.eng-arg.eng.arg | 1.2 | 0.099 |
| Tatoeba-test.eng-asm.eng.asm | 2.9 | 0.259 |
| Tatoeba-test.eng-ast.eng.ast | 14.1 | 0.408 |
| Tatoeba-test.eng-awa.eng.awa | 0.3 | 0.002 |
| Tatoeba-test.eng-bel.eng.bel | 18.1 | 0.450 |
| Tatoeba-test.eng-ben.eng.ben | 13.5 | 0.432 |
| Tatoeba-test.eng-bho.eng.bho | 0.3 | 0.003 |
| Tatoeba-test.eng-bre.eng.bre | 10.4 | 0.318 |
| Tatoeba-test.eng-bul.eng.bul | 38.7 | 0.592 |
| Tatoeba-test.eng-cat.eng.cat | 42.0 | 0.633 |
| Tatoeba-test.eng-ces.eng.ces | 32.3 | 0.546 |
| Tatoeba-test.eng-cor.eng.cor | 0.5 | 0.079 |
| Tatoeba-test.eng-cos.eng.cos | 3.1 | 0.148 |
| Tatoeba-test.eng-csb.eng.csb | 1.4 | 0.216 |
| Tatoeba-test.eng-cym.eng.cym | 22.4 | 0.470 |
| Tatoeba-test.eng-dan.eng.dan | 49.7 | 0.671 |
| Tatoeba-test.eng-deu.eng.deu | 31.7 | 0.554 |
| Tatoeba-test.eng-dsb.eng.dsb | 1.1 | 0.139 |
| Tatoeba-test.eng-egl.eng.egl | 0.9 | 0.089 |
| Tatoeba-test.eng-ell.eng.ell | 42.7 | 0.640 |
| Tatoeba-test.eng-enm.eng.enm | 3.5 | 0.259 |
| Tatoeba-test.eng-ext.eng.ext | 6.4 | 0.235 |
| Tatoeba-test.eng-fao.eng.fao | 6.6 | 0.285 |
| Tatoeba-test.eng-fas.eng.fas | 5.7 | 0.257 |
| Tatoeba-test.eng-fra.eng.fra | 38.4 | 0.595 |
| Tatoeba-test.eng-frm.eng.frm | 0.9 | 0.149 |
| Tatoeba-test.eng-frr.eng.frr | 8.4 | 0.145 |
| Tatoeba-test.eng-fry.eng.fry | 16.5 | 0.411 |
| Tatoeba-test.eng-gcf.eng.gcf | 0.6 | 0.098 |
| Tatoeba-test.eng-gla.eng.gla | 11.6 | 0.361 |
| Tatoeba-test.eng-gle.eng.gle | 32.5 | 0.546 |
| Tatoeba-test.eng-glg.eng.glg | 38.4 | 0.602 |
| Tatoeba-test.eng-glv.eng.glv | 23.1 | 0.418 |
| Tatoeba-test.eng-gos.eng.gos | 0.7 | 0.137 |
| Tatoeba-test.eng-got.eng.got | 0.2 | 0.010 |
| Tatoeba-test.eng-grc.eng.grc | 0.0 | 0.005 |
| Tatoeba-test.eng-gsw.eng.gsw | 0.9 | 0.108 |
| Tatoeba-test.eng-guj.eng.guj | 20.8 | 0.391 |
| Tatoeba-test.eng-hat.eng.hat | 34.0 | 0.537 |
| Tatoeba-test.eng-hbs.eng.hbs | 33.7 | 0.567 |
| Tatoeba-test.eng-hif.eng.hif | 2.8 | 0.269 |
| Tatoeba-test.eng-hin.eng.hin | 15.6 | 0.437 |
| Tatoeba-test.eng-hsb.eng.hsb | 5.4 | 0.320 |
| Tatoeba-test.eng-hye.eng.hye | 17.4 | 0.426 |
| Tatoeba-test.eng-isl.eng.isl | 17.4 | 0.436 |
| Tatoeba-test.eng-ita.eng.ita | 40.4 | 0.636 |
| Tatoeba-test.eng-jdt.eng.jdt | 6.4 | 0.008 |
| Tatoeba-test.eng-kok.eng.kok | 6.6 | 0.005 |
| Tatoeba-test.eng-ksh.eng.ksh | 0.8 | 0.123 |
| Tatoeba-test.eng-kur.eng.kur | 10.2 | 0.209 |
| Tatoeba-test.eng-lad.eng.lad | 0.8 | 0.163 |
| Tatoeba-test.eng-lah.eng.lah | 0.2 | 0.001 |
| Tatoeba-test.eng-lat.eng.lat | 9.4 | 0.372 |
| Tatoeba-test.eng-lav.eng.lav | 30.3 | 0.559 |
| Tatoeba-test.eng-lij.eng.lij | 1.0 | 0.130 |
| Tatoeba-test.eng-lit.eng.lit | 25.3 | 0.560 |
| Tatoeba-test.eng-lld.eng.lld | 0.4 | 0.139 |
| Tatoeba-test.eng-lmo.eng.lmo | 0.6 | 0.108 |
| Tatoeba-test.eng-ltz.eng.ltz | 18.1 | 0.388 |
| Tatoeba-test.eng-mai.eng.mai | 17.2 | 0.464 |
| Tatoeba-test.eng-mar.eng.mar | 18.0 | 0.451 |
| Tatoeba-test.eng-mfe.eng.mfe | 81.0 | 0.899 |
| Tatoeba-test.eng-mkd.eng.mkd | 37.6 | 0.587 |
| Tatoeba-test.eng-msa.eng.msa | 27.7 | 0.519 |
| Tatoeba-test.eng.multi | 32.6 | 0.539 |
| Tatoeba-test.eng-mwl.eng.mwl | 3.8 | 0.134 |
| Tatoeba-test.eng-nds.eng.nds | 14.3 | 0.401 |
| Tatoeba-test.eng-nep.eng.nep | 0.5 | 0.002 |
| Tatoeba-test.eng-nld.eng.nld | 44.0 | 0.642 |
| Tatoeba-test.eng-non.eng.non | 0.7 | 0.118 |
| Tatoeba-test.eng-nor.eng.nor | 42.7 | 0.623 |
| Tatoeba-test.eng-oci.eng.oci | 7.2 | 0.295 |
| Tatoeba-test.eng-ori.eng.ori | 2.7 | 0.257 |
| Tatoeba-test.eng-orv.eng.orv | 0.2 | 0.008 |
| Tatoeba-test.eng-oss.eng.oss | 2.9 | 0.264 |
| Tatoeba-test.eng-pan.eng.pan | 7.4 | 0.337 |
| Tatoeba-test.eng-pap.eng.pap | 48.5 | 0.656 |
| Tatoeba-test.eng-pdc.eng.pdc | 1.8 | 0.145 |
| Tatoeba-test.eng-pms.eng.pms | 0.7 | 0.136 |
| Tatoeba-test.eng-pol.eng.pol | 31.1 | 0.563 |
| Tatoeba-test.eng-por.eng.por | 37.0 | 0.605 |
| Tatoeba-test.eng-prg.eng.prg | 0.2 | 0.100 |
| Tatoeba-test.eng-pus.eng.pus | 1.0 | 0.134 |
| Tatoeba-test.eng-roh.eng.roh | 2.3 | 0.236 |
| Tatoeba-test.eng-rom.eng.rom | 7.8 | 0.340 |
| Tatoeba-test.eng-ron.eng.ron | 34.3 | 0.585 |
| Tatoeba-test.eng-rue.eng.rue | 0.2 | 0.010 |
| Tatoeba-test.eng-rus.eng.rus | 29.6 | 0.526 |
| Tatoeba-test.eng-san.eng.san | 2.4 | 0.125 |
| Tatoeba-test.eng-scn.eng.scn | 1.6 | 0.079 |
| Tatoeba-test.eng-sco.eng.sco | 33.6 | 0.562 |
| Tatoeba-test.eng-sgs.eng.sgs | 3.4 | 0.114 |
| Tatoeba-test.eng-sin.eng.sin | 9.2 | 0.349 |
| Tatoeba-test.eng-slv.eng.slv | 15.6 | 0.334 |
| Tatoeba-test.eng-snd.eng.snd | 9.1 | 0.324 |
| Tatoeba-test.eng-spa.eng.spa | 43.4 | 0.645 |
| Tatoeba-test.eng-sqi.eng.sqi | 39.0 | 0.621 |
| Tatoeba-test.eng-stq.eng.stq | 10.8 | 0.373 |
| Tatoeba-test.eng-swe.eng.swe | 49.9 | 0.663 |
| Tatoeba-test.eng-swg.eng.swg | 0.7 | 0.137 |
| Tatoeba-test.eng-tgk.eng.tgk | 6.4 | 0.346 |
| Tatoeba-test.eng-tly.eng.tly | 0.5 | 0.055 |
| Tatoeba-test.eng-ukr.eng.ukr | 31.4 | 0.536 |
| Tatoeba-test.eng-urd.eng.urd | 11.1 | 0.389 |
| Tatoeba-test.eng-vec.eng.vec | 1.3 | 0.110 |
| Tatoeba-test.eng-wln.eng.wln | 6.8 | 0.233 |
| Tatoeba-test.eng-yid.eng.yid | 5.8 | 0.295 |
| Tatoeba-test.eng-zza.eng.zza | 0.8 | 0.086 |
### System Info:
- hf_name: eng-ine
- source_languages: eng
- target_languages: ine
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ine/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'ca', 'es', 'os', 'ro', 'fy', 'cy', 'sc', 'is', 'yi', 'lb', 'an', 'sq', 'fr', 'ht', 'rm', 'ps', 'af', 'uk', 'sl', 'lt', 'bg', 'be', 'gd', 'si', 'br', 'mk', 'or', 'mr', 'ru', 'fo', 'co', 'oc', 'pl', 'gl', 'nb', 'bn', 'id', 'hy', 'da', 'gv', 'nl', 'pt', 'hi', 'as', 'kw', 'ga', 'sv', 'gu', 'wa', 'lv', 'el', 'it', 'hr', 'ur', 'nn', 'de', 'cs', 'ine']
- src_constituents: {'eng'}
- tgt_constituents: {'cat', 'spa', 'pap', 'mwl', 'lij', 'bos_Latn', 'lad_Latn', 'lat_Latn', 'pcd', 'oss', 'ron', 'fry', 'cym', 'awa', 'swg', 'zsm_Latn', 'srd', 'gcf_Latn', 'isl', 'yid', 'bho', 'ltz', 'kur_Latn', 'arg', 'pes_Thaa', 'sqi', 'csb_Latn', 'fra', 'hat', 'non_Latn', 'sco', 'pnb', 'roh', 'bul_Latn', 'pus', 'afr', 'ukr', 'slv', 'lit', 'tmw_Latn', 'hsb', 'tly_Latn', 'bul', 'bel', 'got_Goth', 'lat_Grek', 'ext', 'gla', 'mai', 'sin', 'hif_Latn', 'eng', 'bre', 'nob_Hebr', 'prg_Latn', 'ang_Latn', 'aln', 'mkd', 'ori', 'mar', 'afr_Arab', 'san_Deva', 'gos', 'rus', 'fao', 'orv_Cyrl', 'bel_Latn', 'cos', 'zza', 'grc_Grek', 'oci', 'mfe', 'gom', 'bjn', 'sgs', 'tgk_Cyrl', 'hye_Latn', 'pdc', 'srp_Cyrl', 'pol', 'ast', 'glg', 'pms', 'nob', 'ben', 'min', 'srp_Latn', 'zlm_Latn', 'ind', 'rom', 'hye', 'scn', 'enm_Latn', 'lmo', 'npi', 'pes', 'dan', 'rus_Latn', 'jdt_Cyrl', 'gsw', 'glv', 'nld', 'snd_Arab', 'kur_Arab', 'por', 'hin', 'dsb', 'asm', 'lad', 'frm_Latn', 'ksh', 'pan_Guru', 'cor', 'gle', 'swe', 'guj', 'wln', 'lav', 'ell', 'frr', 'rue', 'ita', 'hrv', 'urd', 'stq', 'nno', 'deu', 'lld_Latn', 'ces', 'egl', 'vec', 'max_Latn', 'pes_Latn', 'ltg', 'nds'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ine/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: ine
- short_pair: en-ine
- chrF2_score: 0.539
- bleu: 32.6
- brevity_penalty: 0.973
- ref_len: 68664.0
- src_name: English
- tgt_name: Indo-European languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: ine
- prefer_old: False
- long_pair: eng-ine
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "ca", "es", "os", "ro", "fy", "cy", "sc", "is", "yi", "lb", "an", "sq", "fr", "ht", "rm", "ps", "af", "uk", "sl", "lt", "bg", "be", "gd", "si", "br", "mk", "or", "mr", "ru", "fo", "co", "oc", "pl", "gl", "nb", "bn", "id", "hy", "da", "gv", "nl", "pt", "hi", "as", "kw", "ga", "sv", "gu", "wa", "lv", "el", "it", "hr", "ur", "nn", "de", "cs", "ine"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ine | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ca",
"es",
"os",
"ro",
"fy",
"cy",
"sc",
"is",
"yi",
"lb",
"an",
"sq",
"fr",
"ht",
"rm",
"ps",
"af",
"uk",
"sl",
"lt",
"bg",
"be",
"gd",
"si",
"br",
"mk",
"or",
"mr",
"ru",
"fo",
"co",
"oc",
"pl",
"gl",
"nb",
"bn",
"id",
"hy",
"da",
"gv",
"nl",
"pt",
"hi",
"as",
"kw",
"ga",
"sv",
"gu",
"wa",
"lv",
"el",
"it",
"hr",
"ur",
"nn",
"de",
"cs",
"ine",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-is
* source languages: en
* target languages: is
* OPUS readme: [en-is](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-is/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-is/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-is/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-is/opus-2019-12-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.is | 25.3 | 0.518 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-is | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"is",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-iso
* source languages: en
* target languages: iso
* OPUS readme: [en-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-iso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-iso/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-iso/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-iso/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.iso | 35.7 | 0.523 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-iso | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"iso",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-it
* source languages: en
* target languages: it
* OPUS readme: [en-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-it/README.md)
* dataset: opus
* model: transformer
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-04.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-it/opus-2019-12-04.zip)
* test set translations: [opus-2019-12-04.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-it/opus-2019-12-04.test.txt)
* test set scores: [opus-2019-12-04.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-it/opus-2019-12-04.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.en.it | 30.9 | 0.606 |
| newstest2009.en.it | 31.9 | 0.604 |
| Tatoeba.en.it | 48.2 | 0.695 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-it | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"it",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### eng-itc
* source group: English
* target group: Italic languages
* OPUS readme: [eng-itc](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-itc/README.md)
* model: transformer
* source language(s): eng
* target language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro-engron.eng.ron | 27.1 | 0.565 |
| newsdiscussdev2015-enfr-engfra.eng.fra | 29.9 | 0.574 |
| newsdiscusstest2015-enfr-engfra.eng.fra | 35.3 | 0.609 |
| newssyscomb2009-engfra.eng.fra | 27.7 | 0.567 |
| newssyscomb2009-engita.eng.ita | 28.6 | 0.586 |
| newssyscomb2009-engspa.eng.spa | 29.8 | 0.569 |
| news-test2008-engfra.eng.fra | 25.0 | 0.536 |
| news-test2008-engspa.eng.spa | 27.1 | 0.548 |
| newstest2009-engfra.eng.fra | 26.7 | 0.557 |
| newstest2009-engita.eng.ita | 28.9 | 0.583 |
| newstest2009-engspa.eng.spa | 28.9 | 0.567 |
| newstest2010-engfra.eng.fra | 29.6 | 0.574 |
| newstest2010-engspa.eng.spa | 33.8 | 0.598 |
| newstest2011-engfra.eng.fra | 30.9 | 0.590 |
| newstest2011-engspa.eng.spa | 34.8 | 0.598 |
| newstest2012-engfra.eng.fra | 29.1 | 0.574 |
| newstest2012-engspa.eng.spa | 34.9 | 0.600 |
| newstest2013-engfra.eng.fra | 30.1 | 0.567 |
| newstest2013-engspa.eng.spa | 31.8 | 0.576 |
| newstest2016-enro-engron.eng.ron | 25.9 | 0.548 |
| Tatoeba-test.eng-arg.eng.arg | 1.6 | 0.120 |
| Tatoeba-test.eng-ast.eng.ast | 17.2 | 0.389 |
| Tatoeba-test.eng-cat.eng.cat | 47.6 | 0.668 |
| Tatoeba-test.eng-cos.eng.cos | 4.3 | 0.287 |
| Tatoeba-test.eng-egl.eng.egl | 0.9 | 0.101 |
| Tatoeba-test.eng-ext.eng.ext | 8.7 | 0.287 |
| Tatoeba-test.eng-fra.eng.fra | 44.9 | 0.635 |
| Tatoeba-test.eng-frm.eng.frm | 1.0 | 0.225 |
| Tatoeba-test.eng-gcf.eng.gcf | 0.7 | 0.115 |
| Tatoeba-test.eng-glg.eng.glg | 44.9 | 0.648 |
| Tatoeba-test.eng-hat.eng.hat | 30.9 | 0.533 |
| Tatoeba-test.eng-ita.eng.ita | 45.4 | 0.673 |
| Tatoeba-test.eng-lad.eng.lad | 5.6 | 0.279 |
| Tatoeba-test.eng-lat.eng.lat | 12.1 | 0.380 |
| Tatoeba-test.eng-lij.eng.lij | 1.4 | 0.183 |
| Tatoeba-test.eng-lld.eng.lld | 0.5 | 0.199 |
| Tatoeba-test.eng-lmo.eng.lmo | 0.7 | 0.187 |
| Tatoeba-test.eng-mfe.eng.mfe | 83.6 | 0.909 |
| Tatoeba-test.eng-msa.eng.msa | 31.3 | 0.549 |
| Tatoeba-test.eng.multi | 38.0 | 0.588 |
| Tatoeba-test.eng-mwl.eng.mwl | 2.7 | 0.322 |
| Tatoeba-test.eng-oci.eng.oci | 8.2 | 0.293 |
| Tatoeba-test.eng-pap.eng.pap | 46.7 | 0.663 |
| Tatoeba-test.eng-pms.eng.pms | 2.1 | 0.194 |
| Tatoeba-test.eng-por.eng.por | 41.2 | 0.635 |
| Tatoeba-test.eng-roh.eng.roh | 2.6 | 0.237 |
| Tatoeba-test.eng-ron.eng.ron | 40.6 | 0.632 |
| Tatoeba-test.eng-scn.eng.scn | 1.6 | 0.181 |
| Tatoeba-test.eng-spa.eng.spa | 49.5 | 0.685 |
| Tatoeba-test.eng-vec.eng.vec | 1.6 | 0.223 |
| Tatoeba-test.eng-wln.eng.wln | 7.1 | 0.250 |
### System Info:
- hf_name: eng-itc
- source_languages: eng
- target_languages: itc
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-itc/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']
- src_constituents: {'eng'}
- tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- src_multilingual: False
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: itc
- short_pair: en-itc
- chrF2_score: 0.588
- bleu: 38.0
- brevity_penalty: 0.9670000000000001
- ref_len: 73951.0
- src_name: English
- tgt_name: Italic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: itc
- prefer_old: False
- long_pair: eng-itc
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["en", "it", "ca", "rm", "es", "ro", "gl", "sc", "co", "wa", "pt", "oc", "an", "id", "fr", "ht", "itc"], "license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-itc | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"it",
"ca",
"rm",
"es",
"ro",
"gl",
"sc",
"co",
"wa",
"pt",
"oc",
"an",
"id",
"fr",
"ht",
"itc",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-jap
* source languages: en
* target languages: jap
* OPUS readme: [en-jap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-jap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-jap/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| bible-uedin.en.jap | 42.1 | 0.960 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-jap | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"jap",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-kg
* source languages: en
* target languages: kg
* OPUS readme: [en-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kg/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kg | 39.6 | 0.613 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-kg | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"kg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-kj
* source languages: en
* target languages: kj
* OPUS readme: [en-kj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kj | 29.6 | 0.539 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-kj | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"kj",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-kqn
* source languages: en
* target languages: kqn
* OPUS readme: [en-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kqn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kqn | 33.1 | 0.567 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-kqn | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"kqn",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-kwn
* source languages: en
* target languages: kwn
* OPUS readme: [en-kwn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kwn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwn/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kwn | 27.6 | 0.513 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-kwn | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"kwn",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-kwy
* source languages: en
* target languages: kwy
* OPUS readme: [en-kwy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kwy/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-kwy/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwy/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kwy/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.kwy | 33.6 | 0.543 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-kwy | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"kwy",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-lg
* source languages: en
* target languages: lg
* OPUS readme: [en-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-lg/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.lg | 30.4 | 0.543 |
| Tatoeba.en.lg | 5.7 | 0.386 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-lg | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"lg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-ln
* source languages: en
* target languages: ln
* OPUS readme: [en-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ln/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ln/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.ln | 36.7 | 0.588 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-ln | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"ln",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
translation | transformers |
### opus-mt-en-loz
* source languages: en
* target languages: loz
* OPUS readme: [en-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-loz/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-loz/opus-2020-01-08.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.en.loz | 40.1 | 0.596 |
| {"license": "apache-2.0", "tags": ["translation"]} | Helsinki-NLP/opus-mt-en-loz | null | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"loz",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
]
| null | 2022-03-02T23:29:04+00:00 |
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