Unnamed: 0
int64 0
245k
| repo_id
stringlengths 4
122
| author
stringlengths 2
42
⌀ | model_type
stringlengths 2
34
⌀ | files_per_repo
int64 0
77k
| downloads_30d
int64 0
55.9M
| library
stringlengths 2
37
⌀ | likes
int64 0
8.48k
| pipeline
stringlengths 5
30
⌀ | pytorch
bool 2
classes | tensorflow
bool 2
classes | jax
bool 2
classes | license
stringlengths 2
33
⌀ | languages
stringlengths 2
1.63k
⌀ | datasets
stringlengths 2
5.05k
⌀ | co2
stringlengths 3
342
⌀ | prs_count
int64 0
168
| prs_open
int64 0
121
| prs_merged
int64 0
167
| prs_closed
int64 0
35
| discussions_count
int64 0
226
| discussions_open
int64 0
155
| discussions_closed
int64 0
76
| tags
stringlengths 2
7.26k
| has_model_index
bool 2
classes | has_metadata
bool 2
classes | has_text
bool 2
classes | text_length
int64 0
849k
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12,600 |
cnicu/pegasus-xsum-booksum
|
cnicu
|
pegasus
| 8 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false |
mit
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'pegasus', 'text2text-generation', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | false | 0 |
12,601 |
cnicu/t5-small-booksum
|
cnicu
|
t5
| 9 | 58 |
transformers
| 2 |
summarization
| true | false | false |
mit
| null |
['kmfoda/booksum']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'dataset:kmfoda/booksum', 'transformers', 'summarization', 'summary', 'license:mit', 'autotrain_compatible', 'has_space']
| false | true | false | 0 |
12,602 |
cnrcastroli/njhyj
|
cnrcastroli
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,603 |
cnu/distilbert-base-uncased-finetuned-cola
|
cnu
|
distilbert
| 10 | 11 |
transformers
| 0 |
text-classification
| true | false | false |
apache-2.0
| null |
['glue']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'text-classification', 'dataset:glue', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'model-index']
| true | true | true | 1,566 |
12,604 |
coala/Art
|
coala
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,605 |
coastalcph/fairlex-cail-minilm
|
coastalcph
|
xlm-roberta
| 8 | 10 |
transformers
| 0 |
fill-mask
| true | false | false |
cc-by-nc-sa-4.0
|
['zh']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'fill-mask', 'zh', 'transformers', 'legal', 'fairlex', 'license:cc-by-nc-sa-4.0', 'autotrain_compatible']
| false | true | true | 3,612 |
12,606 |
coastalcph/fairlex-ecthr-minilm
|
coastalcph
|
roberta
| 9 | 14 |
transformers
| 1 |
fill-mask
| true | false | false |
cc-by-nc-sa-4.0
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'en', 'transformers', 'legal', 'fairlex', 'license:cc-by-nc-sa-4.0', 'autotrain_compatible']
| false | true | true | 3,616 |
12,607 |
coastalcph/fairlex-fscs-minilm
|
coastalcph
|
xlm-roberta
| 8 | 9 |
transformers
| 1 |
fill-mask
| true | false | false |
cc-by-nc-sa-4.0
|
['de', 'fr', 'it']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'fill-mask', 'de', 'fr', 'it', 'transformers', 'legal', 'fairlex', 'license:cc-by-nc-sa-4.0', 'autotrain_compatible']
| false | true | true | 3,613 |
12,608 |
coastalcph/fairlex-scotus-minilm
|
coastalcph
|
roberta
| 9 | 11 |
transformers
| 0 |
fill-mask
| true | false | false |
cc-by-nc-sa-4.0
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'en', 'transformers', 'legal', 'fairlex', 'license:cc-by-nc-sa-4.0', 'autotrain_compatible']
| false | true | true | 3,616 |
12,609 |
cocoaclef/DialoGPT-small-kohaku
|
cocoaclef
|
gpt2
| 11 | 28 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 24 |
12,610 |
codealtgeek/DiabloGPT-medium-rickmorty
|
codealtgeek
|
gpt2
| 11 | 20 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 28 |
12,611 |
codeceejay/HIYACCENT_Wav2Vec2
|
codeceejay
|
wav2vec2
| 27 | 8 |
transformers
| 1 |
automatic-speech-recognition
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'transformers']
| false | false | true | 2,616 |
12,612 |
codegram/calbert-base-uncased
|
codegram
|
albert
| 9 | 23 |
transformers
| 1 | null | true | false | false |
mit
|
['ca']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'ca', 'transformers', 'masked-lm', 'catalan', 'exbert', 'license:mit']
| false | true | true | 3,458 |
12,613 |
codegram/calbert-tiny-uncased
|
codegram
|
albert
| 9 | 7 |
transformers
| 1 | null | true | false | false |
mit
|
['ca']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'ca', 'transformers', 'masked-lm', 'catalan', 'exbert', 'license:mit']
| false | true | true | 3,452 |
12,614 |
codename/zxc
|
codename
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,615 |
coderpotter/T5-for-Adversarial-Paraphrasing
|
coderpotter
|
t5
| 8 | 104 |
transformers
| 4 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | true | 2,555 |
12,616 |
coderpotter/adversarial-paraphrasing-detector
|
coderpotter
|
roberta
| 8 | 98 |
transformers
| 4 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'text-classification', 'transformers']
| false | false | true | 2,231 |
12,617 |
codesj/empathic-concern
|
codesj
|
roberta
| 9 | 9 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'text-classification', 'transformers']
| false | false | false | 0 |
12,618 |
codingJacob/distilbert-base-uncased-finetuned-ner
|
codingJacob
|
distilbert
| 13 | 12 |
transformers
| 0 |
token-classification
| true | false | false |
apache-2.0
| null |
['conll2003']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'distilbert', 'token-classification', 'dataset:conll2003', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,554 |
12,619 |
codingJacob/dummy-model
|
codingJacob
|
camembert
| 7 | 7 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'camembert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,620 |
codingforgood/wav2vec2-base-timit-demo-colab
|
codingforgood
| null | 4 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,621 |
codistai/codeBERT-small-v2
|
codistai
|
roberta
| 10 | 21 |
transformers
| 1 |
fill-mask
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,622 |
cogito233/distilbert-base-uncased-finetuned-ner
|
cogito233
|
distilbert
| 17 | 10 |
transformers
| 0 |
token-classification
| true | false | false |
apache-2.0
| null |
['conll2003']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'distilbert', 'token-classification', 'dataset:conll2003', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,554 |
12,623 |
cointegrated/LaBSE-en-ru
|
cointegrated
|
bert
| 9 | 33,456 |
transformers
| 20 |
feature-extraction
| true | true | false | null |
['ru', 'en']
| null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'safetensors', 'bert', 'pretraining', 'ru', 'en', 'arxiv:2007.01852', 'transformers', 'feature-extraction', 'embeddings', 'sentence-similarity']
| false | true | true | 1,612 |
12,624 |
cointegrated/roberta-base-formality
|
cointegrated
|
roberta
| 9 | 324 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'transformers', 'has_space']
| false | false | false | 0 |
12,625 |
cointegrated/roberta-large-cola-krishna2020
|
cointegrated
|
roberta
| 10 | 3,505 |
transformers
| 6 |
text-classification
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'arxiv:2010.05700', 'transformers']
| false | false | true | 1,057 |
12,626 |
cointegrated/rubert-base-cased-dp-paraphrase-detection
|
cointegrated
|
bert
| 8 | 181 |
transformers
| 0 |
text-classification
| true | false | false | null |
['ru']
|
['merionum/ru_paraphraser']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'ru', 'dataset:merionum/ru_paraphraser', 'transformers', 'sentence-similarity']
| false | true | true | 1,399 |
12,627 |
cointegrated/rubert-base-cased-nli-threeway
|
cointegrated
|
bert
| 9 | 1,189 |
transformers
| 12 |
zero-shot-classification
| true | false | false | null |
['ru']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'ru', 'transformers', 'rubert', 'russian', 'nli', 'rte', 'zero-shot-classification']
| false | true | true | 5,874 |
12,628 |
cointegrated/rubert-base-cased-nli-twoway
|
cointegrated
|
bert
| 9 | 233 |
transformers
| 0 |
zero-shot-classification
| true | false | false | null |
['ru']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'ru', 'transformers', 'rubert', 'russian', 'nli', 'rte', 'zero-shot-classification']
| false | true | true | 366 |
12,629 |
cointegrated/rubert-base-lesha17-punctuation
|
cointegrated
|
bert
| 8 | 30 |
transformers
| 1 |
token-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | true | 101 |
12,630 |
cointegrated/rubert-tiny-bilingual-nli
|
cointegrated
|
bert
| 9 | 95 |
transformers
| 1 |
zero-shot-classification
| true | false | false | null |
['ru']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'ru', 'transformers', 'rubert', 'russian', 'nli', 'rte', 'zero-shot-classification']
| false | true | true | 369 |
12,631 |
cointegrated/rubert-tiny-sentiment-balanced
|
cointegrated
|
bert
| 9 | 1,028 |
transformers
| 4 |
text-classification
| true | false | false | null |
['ru']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'ru', 'transformers', 'russian', 'classification', 'sentiment', 'multiclass']
| false | true | true | 2,302 |
12,632 |
cointegrated/rubert-tiny-toxicity
|
cointegrated
|
bert
| 9 | 40,278 |
transformers
| 16 |
text-classification
| true | false | false | null |
['ru']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'ru', 'arxiv:2103.05345', 'transformers', 'russian', 'classification', 'toxicity', 'multilabel', 'has_space']
| false | true | true | 2,766 |
12,633 |
cointegrated/rubert-tiny
|
cointegrated
|
bert
| 9 | 5,756 |
transformers
| 18 |
fill-mask
| true | false | false |
mit
|
['ru', 'en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'pretraining', 'ru', 'en', 'transformers', 'russian', 'fill-mask', 'embeddings', 'masked-lm', 'tiny', 'feature-extraction', 'sentence-similarity', 'license:mit', 'has_space']
| false | true | true | 2,169 |
12,634 |
cointegrated/rubert-tiny2-cedr-emotion-detection
|
cointegrated
|
bert
| 10 | 11,000 |
transformers
| 18 |
text-classification
| true | false | false | null |
['ru']
|
['cedr']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'ru', 'dataset:cedr', 'transformers', 'russian', 'classification', 'sentiment', 'emotion-classification', 'multiclass', 'has_space']
| false | true | true | 1,258 |
12,635 |
cointegrated/rubert-tiny2
|
cointegrated
|
bert
| 10 | 82,783 |
transformers
| 35 |
feature-extraction
| true | false | false |
mit
|
['ru']
| null | null | 1 | 0 | 1 | 0 | 1 | 0 | 1 |
['pytorch', 'safetensors', 'bert', 'pretraining', 'ru', 'transformers', 'russian', 'fill-mask', 'embeddings', 'masked-lm', 'tiny', 'feature-extraction', 'sentence-similarity', 'license:mit', 'has_space']
| false | true | true | 1,518 |
12,636 |
cointegrated/rut5-base-absum
|
cointegrated
|
t5
| 8 | 2,776 |
transformers
| 7 |
summarization
| true | false | false |
mit
|
['ru']
|
['IlyaGusev/gazeta', 'csebuetnlp/xlsum', 'mlsum', 'wiki_lingua']
| null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'ru', 'dataset:IlyaGusev/gazeta', 'dataset:csebuetnlp/xlsum', 'dataset:mlsum', 'dataset:wiki_lingua', 'transformers', 'russian', 'summarization', 'license:mit', 'autotrain_compatible']
| false | true | true | 2,345 |
12,637 |
cointegrated/rut5-base-multitask
|
cointegrated
|
t5
| 9 | 1,283 |
transformers
| 16 |
text2text-generation
| true | false | true |
mit
|
['ru', 'en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 't5', 'text2text-generation', 'ru', 'en', 'transformers', 'russian', 'license:mit', 'autotrain_compatible']
| false | true | true | 3,655 |
12,638 |
cointegrated/rut5-base-paraphraser
|
cointegrated
|
t5
| 8 | 1,184 |
transformers
| 10 |
text2text-generation
| true | false | false |
mit
|
['ru']
|
['cointegrated/ru-paraphrase-NMT-Leipzig']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'ru', 'dataset:cointegrated/ru-paraphrase-NMT-Leipzig', 'transformers', 'russian', 'paraphrasing', 'paraphraser', 'paraphrase', 'license:mit', 'autotrain_compatible']
| false | true | true | 947 |
12,639 |
cointegrated/rut5-base-quiz
|
cointegrated
|
t5
| 7 | 18 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,640 |
cointegrated/rut5-base-review
|
cointegrated
|
t5
| 6 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,641 |
cointegrated/rut5-base
|
cointegrated
|
t5
| 9 | 382 |
transformers
| 3 |
text2text-generation
| true | false | true |
mit
|
['ru', 'en', 'multilingual']
| null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 't5', 'text2text-generation', 'ru', 'en', 'multilingual', 'transformers', 'russian', 'license:mit', 'autotrain_compatible']
| false | true | true | 734 |
12,642 |
cointegrated/rut5-small-chitchat
|
cointegrated
|
t5
| 8 | 102 |
transformers
| 3 |
text2text-generation
| true | false | false |
mit
|
['ru']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'ru', 'transformers', 'dialogue', 'russian', 'license:mit', 'autotrain_compatible', 'has_space']
| false | true | true | 1,205 |
12,643 |
cointegrated/rut5-small-chitchat2
|
cointegrated
|
t5
| 9 | 9 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | true | 104 |
12,644 |
cointegrated/rut5-small-normalizer
|
cointegrated
|
t5
| 9 | 41 |
transformers
| 3 |
text2text-generation
| true | false | true |
mit
|
['ru']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 't5', 'text2text-generation', 'ru', 'transformers', 'normalization', 'denoising autoencoder', 'russian', 'license:mit', 'autotrain_compatible']
| false | true | true | 1,566 |
12,645 |
cointegrated/rut5-small
|
cointegrated
|
mt5
| 9 | 211 |
transformers
| 2 |
text2text-generation
| true | false | true |
mit
|
['ru']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'mt5', 'text2text-generation', 'ru', 'transformers', 'paraphrasing', 'russian', 'license:mit', 'autotrain_compatible']
| false | true | true | 1,671 |
12,646 |
coiour/mymodel001
|
coiour
|
bert
| 9 | 5 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,647 |
jiaqianjing/chinese-address-ner
|
jiaqianjing
|
bert
| 10 | 141 |
transformers
| 2 |
token-classification
| true | false | false |
apache-2.0
| null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'token-classification', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 6,258 |
12,648 |
jiaqianjing/distilbert-base-uncased-finetuned-cola
|
jiaqianjing
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,649 |
coldfir3/bert-base-uncased-issues-128
|
coldfir3
|
bert
| 10 | 5 |
transformers
| 0 |
fill-mask
| true | false | false |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| true | true | true | 1,919 |
12,650 |
coldfir3/distilbert-base-uncased-finetuned-emotion
|
coldfir3
|
distilbert
| 13 | 11 |
transformers
| 0 |
text-classification
| true | false | false |
apache-2.0
| null |
['emotion']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'distilbert', 'text-classification', 'dataset:emotion', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'model-index']
| true | true | true | 1,344 |
12,651 |
coldfir3/xlm-roberta-base-finetuned-panx-all
|
coldfir3
|
xlm-roberta
| 9 | 9 |
transformers
| 0 |
token-classification
| true | false | false |
mit
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'generated_from_trainer', 'license:mit', 'autotrain_compatible']
| true | true | true | 1,319 |
12,652 |
coldfir3/xlm-roberta-base-finetuned-panx-de-fr
|
coldfir3
|
xlm-roberta
| 9 | 9 |
transformers
| 0 |
token-classification
| true | false | false |
mit
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'generated_from_trainer', 'license:mit', 'autotrain_compatible']
| true | true | true | 1,321 |
12,653 |
coldfir3/xlm-roberta-base-finetuned-panx-de
|
coldfir3
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,654 |
coldfir3/xlm-roberta-base-finetuned-panx-en
|
coldfir3
|
xlm-roberta
| 9 | 9 |
transformers
| 0 |
token-classification
| true | false | false |
mit
| null |
['xtreme']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'token-classification', 'dataset:xtreme', 'transformers', 'generated_from_trainer', 'license:mit', 'model-index', 'autotrain_compatible']
| true | true | true | 1,320 |
12,655 |
coldfir3/xlm-roberta-base-finetuned-panx-fr
|
coldfir3
|
xlm-roberta
| 9 | 9 |
transformers
| 0 |
token-classification
| true | false | false |
mit
| null |
['xtreme']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'token-classification', 'dataset:xtreme', 'transformers', 'generated_from_trainer', 'license:mit', 'model-index', 'autotrain_compatible']
| true | true | true | 1,320 |
12,656 |
coldfir3/xlm-roberta-base-finetuned-panx-it
|
coldfir3
|
xlm-roberta
| 9 | 9 |
transformers
| 0 |
token-classification
| true | false | false |
mit
| null |
['xtreme']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'token-classification', 'dataset:xtreme', 'transformers', 'generated_from_trainer', 'license:mit', 'model-index', 'autotrain_compatible']
| true | true | true | 1,320 |
12,657 |
colinad07/random
|
colinad07
| null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,658 |
colochoplay/DialoGTP-small-harrypotter
|
colochoplay
|
gpt2
| 11 | 12 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 30 |
12,659 |
colon0722/distilbert-base-uncased-finetuned-imdb
|
colon0722
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,660 |
colorfulscoop/bert-base-ja
|
colorfulscoop
|
bert
| 10 | 38 |
transformers
| 1 |
fill-mask
| true | true | false |
cc-by-sa-4.0
|
['ja']
|
['wikipedia']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'pretraining', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc-by-sa-4.0', 'fill-mask']
| false | true | true | 4,600 |
12,661 |
colorfulscoop/gpt2-small-ja
|
colorfulscoop
|
gpt2
| 8 | 114 |
transformers
| 2 |
text-generation
| true | true | false |
cc
|
['ja']
|
['wikipedia']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'gpt2', 'text-generation', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc']
| false | true | true | 3,461 |
12,662 |
colorfulscoop/sbert-base-ja
|
colorfulscoop
|
bert
| 13 | 71 |
sentence-transformers
| 10 |
sentence-similarity
| true | false | false |
cc-by-sa-4.0
|
['ja']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'ja', 'arxiv:1908.10084', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'license:cc-by-sa-4.0']
| false | true | true | 4,436 |
12,663 |
comacrae/roberta-eda-and-parav3
|
comacrae
|
roberta
| 8 | 10 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,664 |
comacrae/roberta-edav3
|
comacrae
|
roberta
| 8 | 8 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,665 |
comacrae/roberta-paraphrasev3
|
comacrae
|
roberta
| 8 | 21 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,666 |
comacrae/roberta-unaugmentedv3
|
comacrae
|
roberta
| 8 | 8 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,667 |
comacrae/roberta-unaugv3
|
comacrae
|
roberta
| 8 | 8 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,668 |
comodoro/wav2vec2-xls-r-300m-cs-250
|
comodoro
|
wav2vec2
| 18 | 104 |
transformers
| 1 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['cs']
|
['mozilla-foundation/common_voice_8_0', 'ovm', 'pscr', 'vystadial2016']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'cs', 'dataset:mozilla-foundation/common_voice_8_0', 'dataset:ovm', 'dataset:pscr', 'dataset:vystadial2016', 'transformers', 'generated_from_trainer', 'hf-asr-leaderboard', 'mozilla-foundation/common_voice_8_0', 'robust-speech-event', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index', 'has_space']
| true | true | true | 5,893 |
12,669 |
comodoro/wav2vec2-xls-r-300m-cs-cv8
|
comodoro
|
wav2vec2
| 17 | 6 |
transformers
| 1 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['cs']
|
['mozilla-foundation/common_voice_8_0']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'cs', 'dataset:mozilla-foundation/common_voice_8_0', 'transformers', 'mozilla-foundation/common_voice_8_0', 'generated_from_trainer', 'robust-speech-event', 'xlsr-fine-tuning-week', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 5,425 |
12,670 |
comodoro/wav2vec2-xls-r-300m-cs
|
comodoro
|
wav2vec2
| 8 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['cs']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'cs', 'dataset:common_voice', 'transformers', 'common_voice', 'generated_from_trainer', 'hf-asr-leaderboard', 'robust-speech-event', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 3,314 |
12,671 |
comodoro/wav2vec2-xls-r-300m-hsb-cv8
|
comodoro
|
wav2vec2
| 11 | 7 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['hsb']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'hsb', 'dataset:common_voice', 'transformers', 'mozilla-foundation/common_voice_8_0', 'generated_from_trainer', 'robust-speech-event', 'xlsr-fine-tuning-week', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 2,918 |
12,672 |
comodoro/wav2vec2-xls-r-300m-pl-cv8
|
comodoro
|
wav2vec2
| 11 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['pl']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'pl', 'dataset:common_voice', 'transformers', 'mozilla-foundation/common_voice_8_0', 'robust-speech-event', 'xlsr-fine-tuning-week', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 2,788 |
12,673 |
comodoro/wav2vec2-xls-r-300m-sk-cv8
|
comodoro
|
wav2vec2
| 10 | 13 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['sk']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'sk', 'dataset:common_voice', 'transformers', 'mozilla-foundation/common_voice_8_0', 'robust-speech-event', 'xlsr-fine-tuning-week', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 2,443 |
12,674 |
comodoro/wav2vec2-xls-r-300m-sr-cv8
|
comodoro
|
wav2vec2
| 11 | 8 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['sr']
|
['mozilla-foundation/common_voice_8_0', {'name': 'Serbian comodoro Wav2Vec2 XLSR 300M CV8', 'results': [{'task': {'name': 'Automatic Speech Recognition', 'type': 'automatic-speech-recognition'}, 'dataset': {'name': 'Common Voice 8', 'type': 'mozilla-foundation/common_voice_8_0', 'args': 'sr'}, 'metrics': [{'name': 'Test WER', 'type': 'wer', 'value': 48.5}, {'name': 'Test CER', 'type': 'cer', 'value': 18.4}]}]}]
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'sr', 'transformers', 'mozilla-foundation/common_voice_8_0', 'generated_from_trainer', 'robust-speech-event', 'xlsr-fine-tuning-week', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 5,094 |
12,675 |
comodoro/wav2vec2-xls-r-300m-west-slavic-cv8
|
comodoro
|
wav2vec2
| 12 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['cs', 'hsb', 'pl', 'sk', 'sl']
|
['mozilla-foundation/common_voice_8_0']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'cs', 'hsb', 'pl', 'sk', 'sl', 'dataset:mozilla-foundation/common_voice_8_0', 'transformers', 'generated_from_trainer', 'hf-asr-leaderboard', 'mozilla-foundation/common_voice_8_0', 'robust-speech-event', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 1,241 |
12,676 |
congcongwang/bart-base-en-zh
|
congcongwang
|
bart
| 7 | 24 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,677 |
congcongwang/distilgpt2_fine_tuned_coder
|
congcongwang
|
gpt2
| 9 | 14 |
transformers
| 1 |
text-generation
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
12,678 |
congcongwang/gpt2_medium_fine_tuned_coder
|
congcongwang
|
gpt2
| 9 | 44 |
transformers
| 1 |
text-generation
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
12,679 |
congcongwang/t5-base-fine-tuned-wnut-2020-task3
|
congcongwang
|
t5
| 7 | 9 |
transformers
| 0 |
text2text-generation
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,680 |
congcongwang/t5-large-fine-tuned-wnut-2020-task3
|
congcongwang
|
t5
| 8 | 9 |
transformers
| 0 |
text2text-generation
| true | true | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,681 |
congpt/wav2vec2-large-xlsr-vietnamese
|
congpt
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,682 |
conjuring92/distilroberta-base-finetuned-toxic
|
conjuring92
|
roberta
| 16 | 8 |
transformers
| 0 |
fill-mask
| true | false | false |
apache-2.0
| null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'roberta', 'fill-mask', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| true | true | true | 1,299 |
12,683 |
conniezyj/DialoGPT-small-snape
|
conniezyj
|
gpt2
| 11 | 12 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 24 |
12,684 |
connorboyle/bert-ner-i2b2
|
connorboyle
|
bert
| 8 | 68 |
transformers
| 1 |
token-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | true | 78 |
12,685 |
conrizzo/dialogue_summarization_with_BART
|
conrizzo
|
bart
| 4 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false |
mit
| null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text2text-generation', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | false | 0 |
12,686 |
conrizzo/my-awesome-model
|
conrizzo
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,687 |
conversify/response-score
|
conversify
|
bert
| 8 | 13 |
transformers
| 0 |
text-classification
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'text-classification', 'transformers']
| false | false | true | 6 |
12,688 |
cooelf/limitbert
|
cooelf
| null | 5 | 9 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'arxiv:1910.14296', 'transformers']
| false | false | true | 1,678 |
12,689 |
cook/cicero-similis
|
cook
|
bert
| 9 | 7 |
transformers
| 0 |
fill-mask
| true | true | true |
apache-2.0
|
['la']
|
['Tesserae', 'Phi5', 'Thomas Aquinas', 'Patrologia Latina']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'la', 'dataset:Tesserae', 'dataset:Phi5', 'dataset:Thomas Aquinas', 'dataset:Patrologia Latina', 'transformers', 'language model', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,747 |
12,690 |
cook/test
|
cook
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,691 |
cookirei/DialoGPT-medium-Joreyar
|
cookirei
|
gpt2
| 11 | 12 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 25 |
12,692 |
coolzude/Landmark_Detection
|
coolzude
| null | 2 | 0 | null | 0 | null | false | false | false |
mit
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['license:mit']
| false | true | false | 0 |
12,693 |
copenlu/citebert-cite-only
|
copenlu
|
bert
| 7 | 12 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | false | 0 |
12,694 |
copenlu/citebert
|
copenlu
|
bert
| 8 | 15 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | true | 304 |
12,695 |
coppercitylabs/uzbek-news-category-classifier
|
coppercitylabs
|
bert
| 10 | 41 |
transformers
| 4 |
text-classification
| true | false | false |
mit
|
['uz']
|
['webcrawl']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'uz', 'dataset:webcrawl', 'transformers', 'uzbek', 'cyrillic', 'news category classifier', 'license:mit', 'has_space']
| false | true | true | 1,104 |
12,696 |
coppercitylabs/uzbert-base-uncased
|
coppercitylabs
|
bert
| 9 | 26 |
transformers
| 3 |
fill-mask
| true | false | false |
mit
|
['uz']
|
['webcrawl']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'fill-mask', 'uz', 'dataset:webcrawl', 'arxiv:2108.09814', 'transformers', 'uzbert', 'uzbek', 'cyrillic', 'license:mit', 'autotrain_compatible']
| false | true | true | 2,036 |
12,697 |
copq1/roberta-klue-mrc
|
copq1
|
roberta
| 6 | 4 |
transformers
| 0 |
question-answering
| false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,698 |
copq1/roberta_klue_v0.1
|
copq1
|
roberta
| 3 | 8 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,699 |
copq1/roberta_klue_v0.2
|
copq1
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.