id
stringlengths 5
118
| author
stringlengths 2
42
⌀ | lastModified
stringlengths 19
19
⌀ | downloads
float64 0
117M
⌀ | downloadsAllTime
float64 0
2.17B
⌀ | tags
stringlengths 2
28.2k
⌀ | pipeline_tag
stringclasses 52
values | createdAt
stringlengths 19
19
⌀ | dataset
stringlengths 1
5.92k
⌀ | license
stringclasses 104
values | architectures
stringlengths 2
125
⌀ | base_model
stringlengths 10
2.07k
⌀ | base_model_relation
stringclasses 11
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
microsoft/resnet-50
|
microsoft
|
2024-02-13 21:24:05
| 286,207 | 565,268,465 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'resnet', 'image-classification', 'vision', 'autotrain_compatible', 'endpoints_compatible']
|
image-classification
|
2022-03-16 15:42:43
|
imagenet-1k
|
apache-2.0
|
ResNetForImageClassification
| null |
source
|
KoichiYasuoka/roberta-small-belarusian
|
KoichiYasuoka
|
2024-08-09 00:33:07
| 177 | 745 |
['transformers', 'pytorch', 'roberta', 'fill-mask', 'belarusian', 'masked-lm', 'be', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-17 07:47:45
|
cc100
|
cc-by-sa-4.0
|
RobertaForMaskedLM
| null |
unknown
|
KBLab/megatron-bert-large-swedish-cased-110k
|
KBLab
|
2022-05-03 08:57:56
| 123 | 52,027 |
['transformers', 'pytorch', 'megatron-bert', 'sv', 'endpoints_compatible']
|
unknown
|
2022-03-17 10:29:51
|
unknown
|
unknown
|
unknown
| null |
unknown
|
yangheng/deberta-v3-base-absa-v1.1
|
yangheng
|
2024-05-01 14:57:21
| 15,680 | 931,799 |
['transformers', 'pytorch', 'safetensors', 'deberta-v2', 'text-classification', 'aspect-based-sentiment-analysis', 'PyABSA', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-18 23:58:16
|
laptop14_restaurant14_restaurant16_ACL-Twitter_MAMS_Television_TShirt_Yelp
|
mit
|
DebertaForSequenceClassification
| null |
unknown
|
yangheng/deberta-v3-large-absa-v1.1
|
yangheng
|
2024-07-22 13:22:27
| 2,493 | 29,760 |
['transformers', 'pytorch', 'safetensors', 'deberta-v2', 'text-classification', 'aspect-based-sentiment-analysis', 'PyABSA', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-19 00:32:37
|
laptop14_restaurant14_restaurant16_ACL-Twitter_MAMS_Television_TShirt_Yelp
|
mit
|
DebertaForSequenceClassification
| null |
unknown
|
KBLab/megatron-bert-large-swedish-cased-165k
|
KBLab
|
2023-03-20 08:01:57
| 302 | 2,608 |
['transformers', 'pytorch', 'safetensors', 'megatron-bert', 'fill-mask', 'sv', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-21 09:38:41
|
unknown
|
unknown
|
MegatronBertForMaskedLM
| null |
unknown
|
Datadave09/DA-RoBERTa
|
Datadave09
|
2022-03-21 18:59:26
| 0 | 0 |
[]
|
unknown
|
2022-03-21 17:42:40
|
unknown
|
apache-2.0
|
unknown
| null |
unknown
|
microsoft/unixcoder-base
|
microsoft
|
2024-07-31 05:20:05
| 126,745 | 2,176,045 |
['transformers', 'pytorch', 'roberta', 'feature-extraction', 'en', 'endpoints_compatible']
|
feature-extraction
|
2022-03-23 05:47:38
|
unknown
|
apache-2.0
|
RobertaModel
| null |
unknown
|
ml6team/keyphrase-extraction-distilbert-kptimes
|
ml6team
|
2023-05-06 08:53:03
| 213 | 3,182 |
['transformers', 'pytorch', 'distilbert', 'token-classification', 'keyphrase-extraction', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-03-23 10:05:53
|
midas/kptimes
|
mit
|
DistilBertForTokenClassification
| null |
unknown
|
mechanicalsea/lighthubert
|
mechanicalsea
|
2022-06-13 07:20:31
| 0 | 0 |
['speech', 'self-supervised learning', 'model compression', 'neural architecture search', 'LightHuBERT', 'en']
|
unknown
|
2022-03-24 14:07:52
|
librispeech_asr_superb
|
apache-2.0
|
unknown
| null |
unknown
|
optimum/all-MiniLM-L6-v2
|
optimum
|
2022-03-24 16:16:57
| 47,834 | 424,051 |
['sentence-transformers', 'onnx', 'feature-extraction', 'sentence-similarity', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
sentence-similarity
|
2022-03-24 16:15:58
|
unknown
|
apache-2.0
|
BertModel
| null |
unknown
|
DMetaSoul/sbert-chinese-general-v2
|
DMetaSoul
|
2022-04-04 07:22:23
| 2,033 | 2,545,446 |
['sentence-transformers', 'pytorch', 'bert', 'feature-extraction', 'sentence-similarity', 'transformers', 'semantic-search', 'chinese', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']
|
sentence-similarity
|
2022-03-25 08:59:33
|
unknown
|
unknown
|
BertModel
| null |
unknown
|
everdoubling/byt5-Korean-base
|
everdoubling
|
2022-05-29 08:35:55
| 323 | 684 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-03-27 06:46:11
|
mc4
|
apache-2.0
|
T5ForConditionalGeneration
| null |
unknown
|
UrukHan/wav2vec2-russian
|
UrukHan
|
2023-04-05 10:13:34
| 111 | 4,451 |
['transformers', 'pytorch', 'tensorboard', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'generated_from_trainer', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-03-27 07:09:27
|
unknown
|
unknown
|
Wav2Vec2ForCTC
| null |
unknown
|
somosnlp-hackathon-2022/wav2vec2-base-finetuned-sentiment-mesd
|
somosnlp-hackathon-2022
|
2023-12-20 22:11:26
| 208 | 831 |
['transformers', 'pytorch', 'tensorboard', 'wav2vec2', 'audio-classification', 'generated_from_trainer', 'endpoints_compatible']
|
audio-classification
|
2022-03-27 13:23:02
|
unknown
|
apache-2.0
|
Wav2Vec2ForSequenceClassification
|
['facebook/wav2vec2-base']
|
finetune
|
Finnish-NLP/wav2vec2-xlsr-1b-finnish-lm
|
Finnish-NLP
|
2025-02-17 11:35:24
| 148 | 318 |
['transformers', 'pytorch', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'fi', 'finnish', 'generated_from_trainer', 'hf-asr-leaderboard', 'robust-speech-event', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-03-28 16:05:02
|
mozilla-foundation/common_voice_7_0
|
apache-2.0
|
Wav2Vec2ForCTC
| null |
unknown
|
ml6team/keyphrase-extraction-kbir-inspec
|
ml6team
|
2023-05-06 08:46:52
| 32,859 | 1,454,973 |
['transformers', 'pytorch', 'roberta', 'token-classification', 'keyphrase-extraction', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-03-29 13:14:21
|
midas/inspec
|
mit
|
RobertaForTokenClassification
| null |
unknown
|
UrukHan/t5-russian-spell
|
UrukHan
|
2023-04-05 10:13:50
| 1,041 | 489,704 |
['transformers', 'pytorch', 'tensorboard', 'safetensors', 't5', 'text2text-generation', 'generated_from_trainer', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-03-29 14:20:26
|
UrukHan/wav2vec2-russian
|
unknown
|
T5ForConditionalGeneration
| null |
unknown
|
somosnlp-hackathon-2022/t5-small-spanish-nahuatl
|
somosnlp-hackathon-2022
|
2024-01-23 19:41:50
| 75 | 3,267 |
['transformers', 'pytorch', 'safetensors', 't5', 'text2text-generation', 'translation', 'es', 'nah', 'multilingual', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
translation
|
2022-03-29 16:35:17
|
unknown
|
apache-2.0
|
T5ForConditionalGeneration
| null |
unknown
|
microsoft/unixcoder-base-nine
|
microsoft
|
2024-07-31 05:20:43
| 8,575 | 488,551 |
['transformers', 'pytorch', 'roberta', 'feature-extraction', 'en', 'endpoints_compatible']
|
feature-extraction
|
2022-04-02 05:33:27
|
unknown
|
apache-2.0
|
RobertaModel
| null |
unknown
|
zhayunduo/roberta-base-stocktwits-finetuned
|
zhayunduo
|
2023-04-22 03:45:03
| 1,807 | 392,817 |
['transformers', 'pytorch', 'roberta', 'text-classification', 'finance', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-04-02 13:48:34
|
unknown
|
apache-2.0
|
RobertaForSequenceClassification
| null |
unknown
|
somosnlp-hackathon-2022/t5-small-finetuned-spanish-to-quechua
|
somosnlp-hackathon-2022
|
2023-04-13 08:38:14
| 2,368 | 4,211 |
['transformers', 'pytorch', 'safetensors', 't5', 'text2text-generation', 'quechua', 'translation', 'spanish', 'es', 'qu', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
translation
|
2022-04-03 00:10:11
|
unknown
|
apache-2.0
|
T5ForConditionalGeneration
| null |
unknown
|
silencesys/paraphrase-xlm-r-multilingual-v1-fine-tuned-for-latin
|
silencesys
|
2022-04-12 17:08:30
| 46 | 552 |
['sentence-transformers', 'pytorch', 'xlm-roberta', 'feature-extraction', 'sentence-similarity', 'transformers', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']
|
sentence-similarity
|
2022-04-03 08:30:56
|
unknown
|
unknown
|
XLMRobertaModel
| null |
unknown
|
nghuyong/ernie-gram-zh
|
nghuyong
|
2022-08-22 09:10:05
| 364 | 29,002 |
['transformers', 'pytorch', 'bert', 'feature-extraction', 'zh', 'endpoints_compatible']
|
feature-extraction
|
2022-04-03 17:34:43
|
unknown
|
unknown
|
BertModel
| null |
unknown
|
bespin-global/klue-sroberta-base-continue-learning-by-mnr
|
bespin-global
|
2024-04-30 15:07:00
| 88,614 | 721,111 |
['sentence-transformers', 'pytorch', 'safetensors', 'roberta', 'feature-extraction', 'sentence-similarity', 'transformers', 'ko', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']
|
sentence-similarity
|
2022-04-04 06:33:25
|
klue
|
cc-by-4.0
|
RobertaModel
| null |
unknown
|
meedan/paraphrase-filipino-mpnet-base-v2
|
meedan
|
2022-05-11 09:50:47
| 76 | 65,087 |
['sentence-transformers', 'pytorch', 'xlm-roberta', 'feature-extraction', 'sentence-similarity', 'transformers', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']
|
sentence-similarity
|
2022-04-04 18:06:35
|
unknown
|
unknown
|
XLMRobertaModel
| null |
unknown
|
TropicalJuice/Dialog-PeterGriffin
|
TropicalJuice
|
2022-04-04 18:25:38
| 167 | 562 |
['transformers', 'pytorch', 'gpt2', 'text-generation', 'conversational', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-04-04 18:09:45
|
unknown
|
unknown
|
GPT2LMHeadModel
| null |
unknown
|
akiyamasho/AnimeBackgroundGAN-Shinkai
|
akiyamasho
|
2022-04-05 17:11:49
| 0 | 0 |
['pytorch', 'gan', 'image-to-image']
|
image-to-image
|
2022-04-05 09:34:35
|
unknown
|
mit
|
unknown
| null |
unknown
|
public-data/insightface
|
public-data
|
2024-05-08 09:15:49
| 0 | 0 |
['onnx']
|
unknown
|
2022-04-06 11:15:15
|
unknown
|
unknown
|
unknown
| null |
unknown
|
audeering/wav2vec2-large-robust-12-ft-emotion-msp-dim
|
audeering
|
2024-09-19 08:07:19
| 296,332 | 4,656,370 |
['transformers', 'pytorch', 'safetensors', 'wav2vec2', 'speech', 'audio', 'audio-classification', 'emotion-recognition', 'en', 'endpoints_compatible']
|
audio-classification
|
2022-04-06 12:40:02
|
msp-podcast
|
cc-by-nc-sa-4.0
|
Wav2Vec2ForSpeechClassification
| null |
unknown
|
KoboldAI/fairseq-dense-13B-Janeway
|
KoboldAI
|
2022-04-07 10:51:39
| 1,457 | 252,797 |
['transformers', 'pytorch', 'xglm', 'text-generation', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-generation
|
2022-04-06 14:36:12
|
unknown
|
mit
|
XGLMForCausalLM
| null |
unknown
|
ukr-models/uk-ner
|
ukr-models
|
2023-08-31 09:41:21
| 102 | 4,415 |
['transformers', 'pytorch', 'safetensors', 'xlm-roberta', 'token-classification', 'ukrainian', 'uk', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-04-07 05:31:07
|
unknown
|
mit
|
XLMRobertaForTokenClassification
| null |
unknown
|
ai-forever/mGPT
|
ai-forever
|
2023-12-05 13:12:21
| 10,704 | 554,751 |
['transformers', 'pytorch', 'gpt2', 'text-generation', 'multilingual', 'PyTorch', 'Transformers', 'gpt3', 'Deepspeed', 'Megatron', 'ar', 'he', 'vi', 'id', 'jv', 'ms', 'tl', 'lv', 'lt', 'eu', 'ml', 'ta', 'te', 'hy', 'bn', 'mr', 'hi', 'ur', 'af', 'da', 'en', 'de', 'sv', 'fr', 'it', 'pt', 'ro', 'es', 'el', 'os', 'tg', 'fa', 'ja', 'ka', 'ko', 'th', 'bxr', 'xal', 'mn', 'sw', 'yo', 'be', 'bg', 'ru', 'uk', 'pl', 'my', 'uz', 'ba', 'kk', 'ky', 'tt', 'az', 'cv', 'tr', 'tk', 'tyv', 'sax', 'et', 'fi', 'hu', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-04-07 09:13:42
|
mc4_wikipedia
|
apache-2.0
|
GPT2LMHeadModel
| null |
unknown
|
EleutherAI/gpt-neox-20b
|
EleutherAI
|
2024-01-31 20:30:35
| 21,732 | 1,428,542 |
['transformers', 'pytorch', 'safetensors', 'gpt_neox', 'text-generation', 'causal-lm', 'en', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-04-07 20:28:29
|
EleutherAI/pile
|
apache-2.0
|
GPTNeoXForCausalLM
| null |
unknown
|
abdusah/ft-tatoeba-ar-en
|
abdusah
|
2022-04-10 15:34:36
| 43 | 553 |
['transformers', 'pytorch', 'tensorboard', 'm2m_100', 'text2text-generation', 'translation', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-08 11:49:17
|
open_subtitles
|
unknown
|
M2M100ForConditionalGeneration
| null |
unknown
|
PlanTL-GOB-ES/bsc-bio-ehr-es
|
PlanTL-GOB-ES
|
2022-11-15 16:34:16
| 637 | 30,300 |
['transformers', 'pytorch', 'roberta', 'fill-mask', 'biomedical', 'clinical', 'ehr', 'spanish', 'es', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-04-08 13:15:59
|
unknown
|
apache-2.0
|
RobertaForMaskedLM
| null |
unknown
|
public-data/TADNE
|
public-data
|
2022-05-29 08:10:28
| 0 | 0 |
['computer-vision', 'image-generation', 'anime']
|
unknown
|
2022-04-10 04:29:58
|
unknown
|
cc0-1.0
|
unknown
| null |
unknown
|
huseinzol05/gpt2-117M
|
huseinzol05
|
2022-04-10 17:41:12
| 0 | 0 |
[]
|
unknown
|
2022-04-10 17:40:22
|
unknown
|
unknown
|
unknown
| null |
unknown
|
huseinzol05/gpt2-117M-quantized
|
huseinzol05
|
2022-04-10 17:41:31
| 0 | 0 |
[]
|
unknown
|
2022-04-10 17:41:13
|
unknown
|
unknown
|
unknown
| null |
unknown
|
jegormeister/robbert-v2-dutch-base-mqa-finetuned
|
jegormeister
|
2022-04-11 19:09:29
| 1,203 | 20,716 |
['sentence-transformers', 'pytorch', 'roberta', 'feature-extraction', 'sentence-similarity', 'transformers', 'robbert', 'nl', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']
|
sentence-similarity
|
2022-04-11 13:40:02
|
clips/mqa
|
unknown
|
RobertaModel
| null |
unknown
|
Salesforce/codegen-2B-multi
|
Salesforce
|
2025-01-31 20:25:49
| 3,669 | 333,529 |
['transformers', 'pytorch', 'codegen', 'text-generation', 'autotrain_compatible', 'endpoints_compatible']
|
text-generation
|
2022-04-11 23:18:25
|
unknown
|
bsd-3-clause
|
CodeGenForCausalLM
| null |
unknown
|
microsoft/reacc-py-retriever
|
microsoft
|
2022-04-12 08:03:10
| 150 | 4,182 |
['transformers', 'pytorch', 'roberta', 'feature-extraction', 'endpoints_compatible']
|
feature-extraction
|
2022-04-12 07:41:18
|
unknown
|
mit
|
RobertaModel
| null |
unknown
|
huggingnft/cryptopunks__2__bored-apes-yacht-club
|
huggingnft
|
2022-04-25 16:05:53
| 0 | 0 |
['pytorch', 'huggan', 'gan', 'image-to-image', 'huggingnft', 'nft', 'image', 'images']
|
image-to-image
|
2022-04-12 11:24:26
|
unknown
|
mit
|
unknown
| null |
unknown
|
jjzha/jobbert-base-cased
|
jjzha
|
2025-02-09 11:36:05
| 1,173 | 89,891 |
['transformers', 'pytorch', 'onnx', 'safetensors', 'bert', 'fill-mask', 'JobBERT', 'job postings', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-04-12 11:39:22
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
Davlan/afro-xlmr-small
|
Davlan
|
2023-09-07 14:37:28
| 187 | 3,927 |
['transformers', 'pytorch', 'safetensors', 'xlm-roberta', 'fill-mask', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-04-12 20:48:17
|
unknown
|
mit
|
XLMRobertaForMaskedLM
| null |
unknown
|
Salesforce/codegen-6B-mono
|
Salesforce
|
2025-01-31 21:27:06
| 684 | 69,183 |
['transformers', 'pytorch', 'codegen', 'text-generation', 'autotrain_compatible', 'endpoints_compatible']
|
text-generation
|
2022-04-13 00:51:11
|
unknown
|
bsd-3-clause
|
CodeGenForCausalLM
| null |
unknown
|
Salesforce/codegen-16B-multi
|
Salesforce
|
2025-01-31 21:25:02
| 625 | 55,745 |
['transformers', 'pytorch', 'codegen', 'text-generation', 'autotrain_compatible', 'endpoints_compatible']
|
text-generation
|
2022-04-13 00:52:09
|
unknown
|
bsd-3-clause
|
CodeGenForCausalLM
| null |
unknown
|
huggingnft/cyberkongz
|
huggingnft
|
2022-06-18 10:03:27
| 88 | 7,666 |
['transformers', 'huggingnft', 'nft', 'huggan', 'gan', 'image', 'images', 'unconditional-image-generation', 'endpoints_compatible']
|
unconditional-image-generation
|
2022-04-13 09:42:37
|
huggingnft/cyberkongz
|
mit
|
unknown
| null |
unknown
|
studio-ousia/mluke-large-lite
|
studio-ousia
|
2023-06-16 13:55:27
| 116 | 8,720 |
['transformers', 'pytorch', 'luke', 'fill-mask', 'named entity recognition', 'relation classification', 'question answering', 'multilingual', 'ar', 'bn', 'de', 'el', 'en', 'es', 'fi', 'fr', 'hi', 'id', 'it', 'ja', 'ko', 'nl', 'pl', 'pt', 'ru', 'sv', 'sw', 'te', 'th', 'tr', 'vi', 'zh', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-04-13 10:48:26
|
unknown
|
apache-2.0
|
LukeForMaskedLM
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-en-ar
|
Helsinki-NLP
|
2023-10-10 10:22:24
| 7,555 | 123,508 |
['transformers', 'pytorch', 'tf', 'safetensors', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'ar', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 13:38:54
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-en-el
|
Helsinki-NLP
|
2023-10-10 10:48:40
| 287 | 2,327 |
['transformers', 'pytorch', 'tf', 'safetensors', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'el', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 13:53:07
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-en-fr
|
Helsinki-NLP
|
2023-10-10 10:25:37
| 2,489 | 59,999 |
['transformers', 'pytorch', 'tf', 'safetensors', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'en', 'fr', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 14:07:14
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-en-hu
|
Helsinki-NLP
|
2023-10-10 10:40:26
| 4,265 | 12,964 |
['transformers', 'pytorch', 'tf', 'safetensors', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'en', 'hu', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 14:21:29
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-en-pt
|
Helsinki-NLP
|
2023-10-10 10:20:34
| 22,618 | 1,216,172 |
['transformers', 'pytorch', 'tf', 'safetensors', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'tc', 'big', 'en', 'pt', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 14:49:04
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-en-es
|
Helsinki-NLP
|
2023-10-10 10:27:47
| 14,449 | 98,669 |
['transformers', 'pytorch', 'tf', 'safetensors', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'en', 'es', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 15:04:03
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-en-tr
|
Helsinki-NLP
|
2023-08-16 12:10:49
| 72,615 | 620,969 |
['transformers', 'pytorch', 'tf', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'en', 'tr', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 15:11:47
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-ar-en
|
Helsinki-NLP
|
2023-08-16 12:10:50
| 21,530 | 396,790 |
['transformers', 'pytorch', 'tf', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'ar', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 15:18:06
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-el-en
|
Helsinki-NLP
|
2023-08-16 12:10:56
| 607 | 28,070 |
['transformers', 'pytorch', 'tf', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'el', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 15:48:44
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-he-en
|
Helsinki-NLP
|
2023-10-10 10:25:39
| 3,175 | 122,990 |
['transformers', 'pytorch', 'tf', 'safetensors', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'en', 'he', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 16:27:23
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-tr-en
|
Helsinki-NLP
|
2023-11-28 09:30:38
| 55,191 | 527,799 |
['transformers', 'pytorch', 'tf', 'safetensors', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'en', 'tr', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-04-13 17:02:58
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
huggingnft/cryptopunks
|
huggingnft
|
2022-09-26 15:30:31
| 111 | 10,292 |
['transformers', 'huggingnft', 'nft', 'huggan', 'gan', 'image', 'images', 'unconditional-image-generation', 'endpoints_compatible']
|
unconditional-image-generation
|
2022-04-13 22:22:48
|
huggingnft/cryptopunks
|
mit
|
unknown
| null |
unknown
|
javilonso/Mex_Rbta_Opinion_Polarity
|
javilonso
|
2022-04-14 09:44:12
| 81 | 380 |
['transformers', 'tf', 'roberta', 'text-classification', 'generated_from_keras_callback', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-04-14 09:04:20
|
unknown
|
apache-2.0
|
RobertaForSequenceClassification
| null |
unknown
|
ceyda/butterfly_cropped_uniq1K_512
|
ceyda
|
2022-04-25 08:22:46
| 131 | 4,448 |
['transformers', 'huggan', 'gan', 'unconditional-image-generation', 'endpoints_compatible']
|
unconditional-image-generation
|
2022-04-14 09:48:08
|
huggan/smithsonian_butterflies_subset
|
mit
|
unknown
| null |
unknown
|
Finnish-NLP/t5-base-nl36-finnish
|
Finnish-NLP
|
2022-10-02 15:58:48
| 118 | 845 |
['transformers', 'pytorch', 'jax', 'tensorboard', 't5', 'text2text-generation', 'finnish', 't5x', 'seq2seq', 'fi', 'autotrain_compatible', 'text-generation-inference']
|
text2text-generation
|
2022-04-15 10:50:33
|
Finnish-NLP/mc4_fi_cleaned_wikipedia
|
apache-2.0
|
T5ForConditionalGeneration
| null |
unknown
|
paulagarciaserrano/roberta-depression-detection
|
paulagarciaserrano
|
2022-05-05 13:42:30
| 567 | 21,420 |
['transformers', 'pytorch', 'roberta', 'text-classification', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-04-15 16:34:06
|
unknown
|
unknown
|
RobertaForSequenceClassification
| null |
unknown
|
microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL
|
microsoft
|
2022-05-25 02:45:36
| 1,105 | 107,651 |
['transformers', 'pytorch', 'bert', 'exbert', 'feature-extraction', 'en', 'endpoints_compatible']
|
feature-extraction
|
2022-04-15 17:50:38
|
unknown
|
mit
|
KRISSBERT
| null |
unknown
|
huggingnft/boredapeyachtclub
|
huggingnft
|
2023-01-14 03:35:24
| 50 | 2,194 |
['transformers', 'huggingnft', 'nft', 'huggan', 'gan', 'image', 'images', 'unconditional-image-generation', 'endpoints_compatible']
|
unconditional-image-generation
|
2022-04-15 21:48:09
|
huggingnft/boredapeyachtclub
|
mit
|
unknown
| null |
unknown
|
huggingnft/azuki
|
huggingnft
|
2022-05-26 14:22:20
| 61 | 1,431 |
['transformers', 'huggingnft', 'nft', 'huggan', 'gan', 'image', 'images', 'unconditional-image-generation', 'endpoints_compatible']
|
unconditional-image-generation
|
2022-04-15 21:52:23
|
huggingnft/azuki
|
mit
|
unknown
| null |
unknown
|
google/long-t5-tglobal-base
|
google
|
2023-01-24 17:08:42
| 147,603 | 1,172,860 |
['transformers', 'pytorch', 'jax', 'longt5', 'text2text-generation', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-04-16 11:05:48
|
unknown
|
apache-2.0
|
LongT5ForConditionalGeneration
| null |
unknown
|
rmihaylov/bert-base-bg
|
rmihaylov
|
2022-04-17 05:15:10
| 832 | 113,908 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'torch', 'bg', 'autotrain_compatible']
|
fill-mask
|
2022-04-17 04:27:20
|
oscar_chitanka_wikipedia
|
mit
|
BertForMaskedLM
| null |
unknown
|
huggan/stylegan_animeface512
|
huggan
|
2022-04-29 11:59:41
| 0 | 0 |
['pytorch', 'gan', 'stylegan', 'huggan', 'unconditional-image-generation']
|
unconditional-image-generation
|
2022-04-17 19:32:12
|
unknown
|
apache-2.0
|
unknown
| null |
unknown
|
microsoft/layoutlmv3-large
|
microsoft
|
2022-09-16 03:26:15
| 152,257 | 1,631,257 |
['transformers', 'pytorch', 'tf', 'layoutlmv3', 'en', 'endpoints_compatible']
|
unknown
|
2022-04-18 06:56:58
|
unknown
|
cc-by-nc-sa-4.0
|
unknown
| null |
unknown
|
rmihaylov/roberta-base-nli-stsb-bg
|
rmihaylov
|
2022-04-18 07:19:42
| 286 | 14,382 |
['transformers', 'pytorch', 'xlm-roberta', 'feature-extraction', 'torch', 'sentence-similarity', 'bg', 'text-embeddings-inference']
|
sentence-similarity
|
2022-04-18 07:02:39
|
oscar_chitanka_wikipedia
|
mit
|
XLMRobertaModel
| null |
unknown
|
HYPJUDY/layoutlmv3-base-finetuned-funsd
|
HYPJUDY
|
2022-09-16 03:17:49
| 220 | 13,547 |
['transformers', 'pytorch', 'tensorboard', 'layoutlmv3', 'token-classification', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-04-18 15:23:41
|
unknown
|
cc-by-nc-sa-4.0
|
LayoutLMv3ForTokenClassification
| null |
unknown
|
malper/unikud
|
malper
|
2022-04-25 02:11:25
| 16,792 | 287,156 |
['transformers', 'pytorch', 'canine', 'he', 'endpoints_compatible']
|
unknown
|
2022-04-18 15:56:16
|
unknown
|
unknown
|
UnikudModel
| null |
unknown
|
HYPJUDY/layoutlmv3-base-finetuned-publaynet
|
HYPJUDY
|
2022-09-16 03:16:45
| 251 | 5,229 |
['transformers', 'tensorboard', 'layoutlmv3', 'endpoints_compatible']
|
unknown
|
2022-04-18 18:33:55
|
unknown
|
cc-by-nc-sa-4.0
|
unknown
| null |
unknown
|
jbetker/tortoise-tts-v2
|
jbetker
|
2023-05-26 17:11:59
| 0 | 0 |
[]
|
unknown
|
2022-04-18 22:41:14
|
unknown
|
unknown
|
unknown
| null |
unknown
|
zafercavdar/distilbert-base-turkish-cased-emotion
|
zafercavdar
|
2022-04-19 22:03:18
| 131 | 5,670 |
['transformers', 'pytorch', 'distilbert', 'text-classification', 'emotion', 'tr', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-04-19 21:16:33
|
unknown
|
unknown
|
DistilBertForSequenceClassification
| null |
unknown
|
IDEA-CCNL/Erlangshen-Roberta-110M-Sentiment
|
IDEA-CCNL
|
2023-05-25 09:42:57
| 22,806 | 319,610 |
['transformers', 'pytorch', 'bert', 'text-classification', 'roberta', 'NLU', 'Sentiment', 'Chinese', 'zh', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-04-20 06:45:09
|
unknown
|
apache-2.0
|
BertForSequenceClassification
| null |
unknown
|
IDEA-CCNL/Erlangshen-Roberta-330M-Sentiment
|
IDEA-CCNL
|
2023-05-26 04:13:11
| 63,069 | 723,264 |
['transformers', 'pytorch', 'safetensors', 'bert', 'text-classification', 'roberta', 'NLU', 'Sentiment', 'Chinese', 'zh', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-04-20 07:15:44
|
unknown
|
apache-2.0
|
BertForSequenceClassification
| null |
unknown
|
demdecuong/vihealthbert-base-word
|
demdecuong
|
2022-04-20 07:55:52
| 1,074 | 87,908 |
['transformers', 'pytorch', 'roberta', 'feature-extraction', 'endpoints_compatible']
|
feature-extraction
|
2022-04-20 07:49:34
|
unknown
|
unknown
|
RobertaModel
| null |
unknown
|
demdecuong/vihealthbert-base-syllable
|
demdecuong
|
2022-04-20 07:57:30
| 181 | 6,388 |
['transformers', 'pytorch', 'roberta', 'feature-extraction', 'endpoints_compatible']
|
feature-extraction
|
2022-04-20 07:50:23
|
unknown
|
unknown
|
RobertaModel
| null |
unknown
|
openai/clip-vit-large-patch14-336
|
openai
|
2022-10-04 09:41:39
| 5,461,535 | 123,972,741 |
['transformers', 'pytorch', 'tf', 'clip', 'zero-shot-image-classification', 'generated_from_keras_callback', 'endpoints_compatible']
|
zero-shot-image-classification
|
2022-04-22 14:57:43
|
unknown
|
unknown
|
CLIPModel
| null |
source
|
allenai/aspire-biencoder-compsci-spec
|
allenai
|
2022-10-03 22:03:49
| 37 | 3,914 |
['transformers', 'pytorch', 'bert', 'feature-extraction', 'en', 'endpoints_compatible']
|
feature-extraction
|
2022-04-23 14:15:21
|
unknown
|
apache-2.0
|
BertModel
| null |
unknown
|
allenai/aspire-contextualsentence-multim-compsci
|
allenai
|
2023-10-17 14:34:56
| 223 | 8,796 |
['transformers', 'pytorch', 'bert', 'feature-extraction', 'en', 'endpoints_compatible']
|
feature-extraction
|
2022-04-23 14:16:27
|
unknown
|
apache-2.0
|
BertModel
| null |
unknown
|
allenai/aspire-contextualsentence-singlem-compsci
|
allenai
|
2022-10-03 22:02:55
| 27 | 3,980 |
['transformers', 'pytorch', 'bert', 'feature-extraction', 'en', 'endpoints_compatible']
|
feature-extraction
|
2022-04-23 14:18:55
|
unknown
|
apache-2.0
|
BertModel
| null |
unknown
|
jy46604790/Fake-News-Bert-Detect
|
jy46604790
|
2022-04-26 04:36:13
| 7,982 | 82,226 |
['transformers', 'pytorch', 'roberta', 'text-classification', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-04-24 11:25:53
|
unknown
|
apache-2.0
|
RobertaForSequenceClassification
| null |
unknown
|
Rodion/sbert_uno_sustainable_development_goals
|
Rodion
|
2022-05-01 14:33:23
| 30 | 790 |
['transformers', 'pytorch', 'mpnet', 'feature-extraction', 'endpoints_compatible']
|
feature-extraction
|
2022-04-26 05:14:40
|
unknown
|
unknown
|
MPNetModel
| null |
unknown
|
hustvl/yolos-tiny
|
hustvl
|
2024-04-10 14:33:27
| 265,586 | 9,732,400 |
['transformers', 'pytorch', 'safetensors', 'yolos', 'object-detection', 'vision', 'endpoints_compatible']
|
object-detection
|
2022-04-26 09:28:47
|
coco
|
apache-2.0
|
YolosForObjectDetection
| null |
unknown
|
hustvl/yolos-small
|
hustvl
|
2024-05-08 07:49:12
| 64,969 | 1,534,014 |
['transformers', 'pytorch', 'safetensors', 'yolos', 'object-detection', 'vision', 'endpoints_compatible']
|
object-detection
|
2022-04-26 09:38:22
|
coco
|
apache-2.0
|
YolosForObjectDetection
| null |
unknown
|
IDEA-CCNL/Randeng-BART-139M-SUMMARY
|
IDEA-CCNL
|
2023-05-26 04:12:47
| 200 | 14,639 |
['transformers', 'pytorch', 'safetensors', 'bart', 'text2text-generation', 'zh', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-04-26 12:24:42
|
unknown
|
apache-2.0
|
BartForConditionalGeneration
| null |
unknown
|
rinna/japanese-clip-vit-b-16
|
rinna
|
2024-07-20 08:42:32
| 27,701 | 684,979 |
['transformers', 'pytorch', 'safetensors', 'clip', 'zero-shot-image-classification', 'feature-extraction', 'vision', 'ja']
|
feature-extraction
|
2022-04-27 07:52:33
|
unknown
|
apache-2.0
|
CLIPModel
| null |
unknown
|
ml6team/keyphrase-generation-t5-small-inspec
|
ml6team
|
2022-08-19 11:54:17
| 293 | 9,665 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'keyphrase-generation', 'en', 'model-index', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-04-27 12:37:16
|
midas/inspec
|
mit
|
T5ForConditionalGeneration
| null |
unknown
|
yhshin/latex-ocr
|
yhshin
|
2022-04-28 09:44:30
| 234 | 1,801 |
['transformers', 'pytorch', 'vision-encoder-decoder', 'image-text-to-text', 'endpoints_compatible']
|
image-text-to-text
|
2022-04-27 16:12:05
|
unknown
|
mit
|
VisionEncoderDecoderModel
| null |
unknown
|
pile-of-law/legalbert-large-1.7M-1
|
pile-of-law
|
2022-07-04 07:27:42
| 220 | 4,005 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'en', 'endpoints_compatible']
|
fill-mask
|
2022-04-29 06:01:04
|
pile-of-law/pile-of-law
|
unknown
|
unknown
| null |
unknown
|
ifrz/wav2vec2-large-xlsr-galician
|
ifrz
|
2022-10-29 23:47:47
| 1,576 | 8,685 |
['transformers', 'pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-04-29 08:55:46
|
unknown
|
unknown
|
Wav2Vec2ForCTC
| null |
unknown
|
doc2query/msmarco-portuguese-mt5-base-v1
|
doc2query
|
2022-04-29 12:08:25
| 132 | 1,302 |
['transformers', 'pytorch', 'mt5', 'text2text-generation', 'pt', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-04-29 12:07:58
|
unicamp-dl/mmarco
|
apache-2.0
|
MT5ForConditionalGeneration
| null |
unknown
|
aneuraz/awesome-align-with-co
|
aneuraz
|
2022-04-29 16:16:12
| 1,485 | 92,420 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'sentence alignment', 'de', 'fr', 'en', 'ro', 'zh', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-04-29 14:55:54
|
unknown
|
bsd-3-clause
|
BertForMaskedLM
| null |
unknown
|
pile-of-law/legalbert-large-1.7M-2
|
pile-of-law
|
2023-06-06 20:10:02
| 779 | 20,623 |
['transformers', 'pytorch', 'bert', 'legal', 'fill-mask', 'en', 'endpoints_compatible']
|
fill-mask
|
2022-04-29 18:27:57
|
pile-of-law/pile-of-law
|
unknown
|
unknown
| null |
unknown
|
cfilt/HiNER-original-xlm-roberta-large
|
cfilt
|
2022-05-02 10:19:28
| 313 | 2,945 |
['transformers', 'pytorch', 'tensorboard', 'xlm-roberta', 'token-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-05-01 07:38:35
|
cfilt/HiNER-original
|
unknown
|
XLMRobertaForTokenClassification
| null |
unknown
|
Subsets and Splits
FLUX.1-dev Adapter Models
The query performs basic filtering to retrieve specific entries related to a particular base model, which provides limited analytical value.
FLUX.1-dev Adapter Models
This query retrieves a limited number of entries where the base model is from a specific vendor and relation is 'adapter', which provides basic filtering but limited analytical value.