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values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
RecordedFuture/Swedish-NER
|
RecordedFuture
|
2021-05-24 12:03:54
| 265 | 9,348 |
['transformers', 'pytorch', 'bert', 'token-classification', 'sv', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-03-02 23:29:04
|
unknown
|
mit
|
BertForTokenClassification
| null |
unknown
|
Rifky/Indobert-QA
|
Rifky
|
2025-01-16 18:17:00
| 32,346 | 117,190 |
['transformers', 'pytorch', 'safetensors', 'bert', 'question-answering', 'id', 'endpoints_compatible']
|
question-answering
|
2022-03-02 23:29:04
|
rajpurkar/squad_v2
|
apache-2.0
|
BertForQuestionAnswering
|
['indolem/indobert-base-uncased']
|
finetune
|
Rostlab/prot_bert
|
Rostlab
|
2023-11-16 15:07:57
| 209,521 | 9,464,044 |
['transformers', 'pytorch', 'fill-mask', 'protein language model', 'protein', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:04
|
Uniref100
|
unknown
|
BertForMaskedLM
| null |
unknown
|
Rostlab/prot_bert_bfd
|
Rostlab
|
2020-12-11 21:30:10
| 34,417 | 2,698,605 |
['transformers', 'pytorch', 'tf', 'fill-mask', 'protein language model', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:04
|
BFD
|
unknown
|
BertForMaskedLM
| null |
unknown
|
Rostlab/prot_t5_xl_uniref50
|
Rostlab
|
2023-01-31 21:05:58
| 74,640 | 22,110,394 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'protein language model', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:04
|
UniRef50
|
unknown
|
T5ForConditionalGeneration
| null |
source
|
SEBIS/code_trans_t5_base_api_generation
|
SEBIS
|
2021-06-23 03:57:33
| 266 | 1,357 |
['transformers', 'pytorch', 'jax', 't5', 'feature-extraction', 'summarization', 'text-generation-inference', 'endpoints_compatible']
|
summarization
|
2022-03-02 23:29:04
|
unknown
|
unknown
|
T5Model
| null |
unknown
|
SEBIS/code_trans_t5_base_source_code_summarization_python_multitask
|
SEBIS
|
2021-06-23 05:22:00
| 134 | 1,241 |
['transformers', 'pytorch', 'jax', 't5', 'feature-extraction', 'summarization', 'text-generation-inference', 'endpoints_compatible']
|
summarization
|
2022-03-02 23:29:04
|
unknown
|
unknown
|
T5Model
| null |
unknown
|
SEBIS/code_trans_t5_large_source_code_summarization_python_multitask_finetune
|
SEBIS
|
2021-06-23 09:21:31
| 97 | 23,567 |
['transformers', 'pytorch', 'jax', 't5', 'feature-extraction', 'summarization', 'text-generation-inference', 'endpoints_compatible']
|
summarization
|
2022-03-02 23:29:04
|
unknown
|
unknown
|
T5Model
| null |
unknown
|
SEBIS/code_trans_t5_small_source_code_summarization_python
|
SEBIS
|
2021-06-23 10:22:03
| 215 | 1,312 |
['transformers', 'pytorch', 'jax', 't5', 'feature-extraction', 'summarization', 'text-generation-inference', 'endpoints_compatible']
|
summarization
|
2022-03-02 23:29:04
|
unknown
|
unknown
|
T5Model
| null |
unknown
|
SIKU-BERT/sikuroberta
|
SIKU-BERT
|
2021-09-22 00:22:36
| 659 | 18,754 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'chinese', 'classical chinese', 'literary chinese', 'ancient chinese', 'roberta', 'zh', 'autotrain_compatible']
|
fill-mask
|
2022-03-02 23:29:04
|
unknown
|
apache-2.0
|
BertForMaskedLM
| null |
unknown
|
SZTAKI-HLT/hubert-base-cc
|
SZTAKI-HLT
|
2024-10-24 19:59:18
| 123,611 | 8,764,041 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'bert', 'hu', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:04
|
common_crawl_wikipedia
|
apache-2.0
|
unknown
| null |
unknown
|
SajjadAyoubi/xlm-roberta-large-fa-qa
|
SajjadAyoubi
|
2021-04-21 07:23:30
| 69 | 7,942 |
['transformers', 'pytorch', 'tf', 'xlm-roberta', 'question-answering', 'endpoints_compatible']
|
question-answering
|
2022-03-02 23:29:04
|
unknown
|
unknown
|
XLMRobertaForQuestionAnswering
| null |
unknown
|
Salesforce/codet5-base-multi-sum
|
Salesforce
|
2022-10-18 14:18:03
| 55,361 | 1,445,579 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'codet5', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:04
|
code_search_net
|
bsd-3-clause
|
T5ForConditionalGeneration
| null |
unknown
|
Salesforce/codet5-base
|
Salesforce
|
2025-01-21 09:32:20
| 31,418 | 2,657,987 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'codet5', 'autotrain_compatible', 'text-generation-inference']
|
text2text-generation
|
2022-03-02 23:29:04
|
code_search_net
|
apache-2.0
|
T5ForConditionalGeneration
| null |
unknown
|
Salesforce/grappa_large_jnt
|
Salesforce
|
2025-01-14 19:00:00
| 16,131 | 211,646 |
['transformers', 'pytorch', 'jax', 'roberta', 'fill-mask', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:04
|
unknown
|
unknown
|
RobertaForMaskedLM
| null |
unknown
|
ShannonAI/ChineseBERT-base
|
ShannonAI
|
2022-06-19 08:14:46
| 270 | 6,325 |
['transformers', 'pytorch', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
unknown
| null |
unknown
|
Shavrina/RusEnQA
|
Shavrina
|
2021-11-18 13:37:56
| 0 | 0 |
['PyTorch', 'Transformers', 'gpt2', 'squad', 'lm-head', 'casual-lm', 'text2text-generation', 'ru', 'en']
|
text2text-generation
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
unknown
| null |
unknown
|
s-nlp/roberta_toxicity_classifier
|
s-nlp
|
2024-11-08 11:22:37
| 75,530 | 1,604,732 |
['transformers', 'pytorch', 'roberta', 'text-classification', 'toxic comments classification', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
google/jigsaw_toxicity_pred
|
openrail++
|
RobertaForSequenceClassification
|
['FacebookAI/roberta-large']
|
finetune
|
s-nlp/russian_toxicity_classifier
|
s-nlp
|
2024-10-14 09:39:39
| 17,048 | 830,969 |
['transformers', 'pytorch', 'tf', 'safetensors', 'bert', 'text-classification', 'toxic comments classification', 'ru', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
unknown
|
openrail++
|
BertForSequenceClassification
|
['DeepPavlov/rubert-base-cased-conversational']
|
finetune
|
s-nlp/xlmr_formality_classifier
|
s-nlp
|
2024-10-14 09:53:27
| 452 | 13,205 |
['transformers', 'pytorch', 'safetensors', 'xlm-roberta', 'text-classification', 'formal or informal classification', 'en', 'fr', 'it', 'pt', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
unknown
|
openrail++
|
XLMRobertaForSequenceClassification
|
['FacebookAI/xlm-roberta-base']
|
finetune
|
SpanBERT/spanbert-large-cased
|
SpanBERT
|
2021-05-19 11:31:33
| 100,290 | 34,863,779 |
['transformers', 'pytorch', 'jax', 'bert', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
unknown
| null |
unknown
|
SriramSridhar78/sriram-car-classifier
|
SriramSridhar78
|
2023-03-21 12:14:20
| 232 | 23,715 |
['transformers', 'pytorch', 'tensorboard', 'safetensors', 'vit', 'image-classification', 'huggingpics', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
image-classification
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
ViTForImageClassification
| null |
unknown
|
T-Systems-onsite/cross-en-de-roberta-sentence-transformer
|
T-Systems-onsite
|
2024-09-17 08:22:45
| 1,122,112 | 10,507,567 |
['transformers', 'pytorch', 'tf', 'safetensors', 'xlm-roberta', 'feature-extraction', 'sentence_embedding', 'search', 'roberta', 'xlm-r-distilroberta-base-paraphrase-v1', 'paraphrase', 'de', 'en', 'multilingual', 'text-embeddings-inference', 'endpoints_compatible']
|
feature-extraction
|
2022-03-02 23:29:05
|
stsb_multi_mt
|
mit
|
XLMRobertaModel
|
['FacebookAI/xlm-roberta-base']
|
unknown_annotated
|
T-Systems-onsite/german-roberta-sentence-transformer-v2
|
T-Systems-onsite
|
2023-04-27 19:28:49
| 2,529 | 82,644 |
['transformers', 'pytorch', 'tf', 'safetensors', 'xlm-roberta', 'feature-extraction', 'sentence_embedding', 'search', 'roberta', 'xlm-r-distilroberta-base-paraphrase-v1', 'paraphrase', 'de', 'endpoints_compatible']
|
feature-extraction
|
2022-03-02 23:29:05
|
STSbenchmark
|
mit
|
XLMRobertaModel
| null |
unknown
|
T-Systems-onsite/mt5-small-sum-de-en-v2
|
T-Systems-onsite
|
2024-04-07 21:22:12
| 509 | 41,996 |
['transformers', 'pytorch', 'safetensors', 'mt5', 'text2text-generation', 'summarization', 'de', 'en', 'multilingual', 'autotrain_compatible', 'endpoints_compatible']
|
summarization
|
2022-03-02 23:29:05
|
cnn_dailymail_xsum_mlsum_swiss_text_2019
|
cc-by-nc-sa-4.0
|
MT5ForConditionalGeneration
| null |
unknown
|
TencentARC/GFPGANv1
|
TencentARC
|
2022-10-08 06:45:05
| 0 | 0 |
[]
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
unknown
| null |
unknown
|
ThomasSimonini/ML-Agents-SnowballFight-1vs1
|
ThomasSimonini
|
2021-11-30 06:28:02
| 13 | 201 |
['ml-agents', 'onnx', 'deep-reinforcement-learning', 'reinforcement-learning']
|
reinforcement-learning
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
unknown
| null |
unknown
|
ThomasSimonini/ppo-AntBulletEnv-v0
|
ThomasSimonini
|
2022-04-07 17:59:38
| 7 | 102 |
['stable-baselines3', 'deep-reinforcement-learning', 'reinforcement-learning']
|
reinforcement-learning
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
unknown
| null |
unknown
|
TurkuNLP/bert-base-finnish-cased-v1
|
TurkuNLP
|
2024-02-20 11:56:47
| 18,430 | 1,493,782 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'fi', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
TurkuNLP/sbert-cased-finnish-paraphrase
|
TurkuNLP
|
2024-11-18 13:30:05
| 589 | 686,447 |
['sentence-transformers', 'pytorch', 'safetensors', 'bert', 'feature-extraction', 'sentence-similarity', 'transformers', 'fi', 'autotrain_compatible', 'endpoints_compatible']
|
sentence-similarity
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertModel
| null |
unknown
|
TurkuNLP/sbert-uncased-finnish-paraphrase
|
TurkuNLP
|
2024-11-18 13:29:51
| 713 | 42,201 |
['sentence-transformers', 'pytorch', 'safetensors', 'bert', 'feature-extraction', 'sentence-similarity', 'transformers', 'fi', 'autotrain_compatible', 'endpoints_compatible']
|
sentence-similarity
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertModel
| null |
unknown
|
UBC-NLP/MARBERT
|
UBC-NLP
|
2022-08-16 21:47:42
| 2,851 | 280,657 |
['transformers', 'pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'Arabic BERT', 'MSA', 'Twitter', 'Masked Langauge Model', 'ar', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
UBC-NLP/MARBERTv2
|
UBC-NLP
|
2022-03-30 21:52:31
| 6,765 | 80,025 |
['transformers', 'pytorch', 'tf', 'bert', 'fill-mask', 'Arabic BERT', 'MSA', 'Twitter', 'Masked Langauge Model', 'ar', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
Unbabel/gec-t5_small
|
Unbabel
|
2021-09-27 11:27:48
| 1,448 | 71,957 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'grammatical error correction', 'text2text', 'en', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:05
|
clang-8_conll-14_conll-13
|
apache-2.0
|
T5ForConditionalGeneration
| null |
unknown
|
ValkyriaLenneth/longformer_zh
|
ValkyriaLenneth
|
2022-01-06 03:50:20
| 6,170 | 42,042 |
['transformers', 'pytorch', 'longformer', 'feature-extraction', 'endpoints_compatible']
|
feature-extraction
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
LongformerModel
| null |
unknown
|
Vamsi/T5_Paraphrase_Paws
|
Vamsi
|
2023-06-12 06:31:04
| 30,423 | 2,356,237 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 't5', 'text2text-generation', 'paraphrase-generation', 'text-generation', 'Conditional Generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
T5ForConditionalGeneration
| null |
unknown
|
VictorSanh/roberta-base-finetuned-yelp-polarity
|
VictorSanh
|
2023-03-17 19:24:32
| 212 | 630,406 |
['transformers', 'pytorch', 'jax', 'safetensors', 'roberta', 'text-classification', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
yelp_polarity
|
unknown
|
RobertaForSequenceClassification
| null |
unknown
|
Wikidepia/IndoT5-base-paraphrase
|
Wikidepia
|
2021-09-04 02:49:33
| 334 | 22,121 |
['transformers', 'pytorch', 'jax', 'tensorboard', 't5', 'text2text-generation', 'id', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
T5ForConditionalGeneration
| null |
unknown
|
XSY/albert-base-v2-fakenews-discriminator
|
XSY
|
2021-11-16 13:11:50
| 6,174 | 61,619 |
['transformers', 'pytorch', 'albert', 'text-classification', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
AlbertForSequenceClassification
| null |
unknown
|
Yanzhu/bertweetfr-base
|
Yanzhu
|
2021-06-13 07:20:37
| 141 | 384,057 |
['transformers', 'pytorch', 'camembert', 'fill-mask', 'fr', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
CamembertForMaskedLM
| null |
unknown
|
arbml/wav2vec2-large-xlsr-53-arabic-egyptian
|
arbml
|
2021-07-05 18:12:38
| 730 | 19,308 |
['transformers', 'pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'audio', 'speech', 'xlsr-fine-tuning-week', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-03-02 23:29:05
|
common_voice
|
apache-2.0
|
Wav2Vec2ForCTC
| null |
unknown
|
abdouaziiz/wav2vec2-xls-r-300m-wolof-lm
|
abdouaziiz
|
2022-09-06 10:35:32
| 7,869 | 12,686 |
['transformers', 'pytorch', 'wav2vec2', 'automatic-speech-recognition', 'asr', 'wolof', 'wo', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-03-02 23:29:05
|
unknown
|
mit
|
Wav2Vec2ForCTC
| null |
unknown
|
addy88/wav2vec2-dogri-stt
|
addy88
|
2021-12-19 16:43:44
| 140 | 282 |
['transformers', 'pytorch', 'wav2vec2', 'automatic-speech-recognition', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
Wav2Vec2ForCTC
| null |
unknown
|
aismlv/wav2vec2-large-xlsr-kazakh
|
aismlv
|
2023-12-20 23:33:31
| 1,441 | 9,121 |
['transformers', 'pytorch', 'jax', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'audio', 'speech', 'xlsr-fine-tuning-week', 'kk', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-03-02 23:29:05
|
kazakh_speech_corpus
|
apache-2.0
|
Wav2Vec2ForCTC
|
['facebook/wav2vec2-large-xlsr-53']
|
finetune
|
ahmedrachid/FinancialBERT-Sentiment-Analysis
|
ahmedrachid
|
2022-02-07 14:58:57
| 12,884 | 3,218,745 |
['transformers', 'pytorch', 'bert', 'text-classification', 'financial-sentiment-analysis', 'sentiment-analysis', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
financial_phrasebank
|
unknown
|
BertForSequenceClassification
| null |
unknown
|
ahmedrachid/FinancialBERT
|
ahmedrachid
|
2022-02-07 15:00:03
| 224 | 28,624 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
ahmetbagci/bert2bert-turkish-paraphrase-generation
|
ahmetbagci
|
2021-10-18 10:17:40
| 12,691 | 16,224 |
['transformers', 'pytorch', 'encoder-decoder', 'text2text-generation', 'paraphrasing', 'seq2seq', 'bert', 'tr', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
EncoderDecoderModel
| null |
unknown
|
ai4bharat/IndicBART
|
ai4bharat
|
2022-08-07 17:12:33
| 3,734 | 74,258 |
['transformers', 'pytorch', 'mbart', 'text2text-generation', 'multilingual', 'nlp', 'indicnlp', 'as', 'bn', 'gu', 'hi', 'kn', 'ml', 'mr', 'or', 'pa', 'ta', 'te', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
MBartForConditionalGeneration
| null |
unknown
|
ai4bharat/indic-bert
|
ai4bharat
|
2022-08-07 17:32:41
| 19,944 | 3,193,641 |
['transformers', 'pytorch', 'albert', 'as', 'bn', 'en', 'gu', 'hi', 'kn', 'ml', 'mr', 'or', 'pa', 'ta', 'te', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
mit
|
unknown
| null |
unknown
|
airesearch/wangchanberta-base-att-spm-uncased
|
airesearch
|
2023-03-19 02:31:42
| 38,628 | 2,828,761 |
['transformers', 'pytorch', 'safetensors', 'camembert', 'fill-mask', 'th', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
RobertaForMaskedLM
| null |
unknown
|
airesearch/wav2vec2-large-xlsr-53-th
|
airesearch
|
2022-03-23 18:24:45
| 132,173 | 1,578,066 |
['transformers', 'pytorch', 'wav2vec2', 'automatic-speech-recognition', 'audio', 'hf-asr-leaderboard', 'robust-speech-event', 'speech', 'xlsr-fine-tuning', 'th', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-03-02 23:29:05
|
common_voice
|
cc-by-sa-4.0
|
Wav2Vec2ForCTC
| null |
unknown
|
akahana/vit-base-cats-vs-dogs
|
akahana
|
2023-09-19 01:23:03
| 555 | 61,834 |
['transformers', 'pytorch', 'tensorboard', 'safetensors', 'vit', 'image-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
image-classification
|
2022-03-02 23:29:05
|
cats_vs_dogs
|
apache-2.0
|
ViTForImageClassification
|
['google/vit-base-patch16-224-in21k']
|
finetune
|
akdeniz27/bert-base-turkish-cased-ner
|
akdeniz27
|
2024-06-18 09:42:03
| 22,093 | 4,490,660 |
['transformers', 'pytorch', 'onnx', 'safetensors', 'bert', 'token-classification', 'tr', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-03-02 23:29:05
|
unknown
|
mit
|
BertForTokenClassification
| null |
unknown
|
akdeniz27/deberta-v2-xlarge-cuad
|
akdeniz27
|
2023-05-04 04:52:54
| 131 | 8,026 |
['transformers', 'pytorch', 'safetensors', 'deberta-v2', 'question-answering', 'en', 'endpoints_compatible']
|
question-answering
|
2022-03-02 23:29:05
|
cuad
|
unknown
|
DebertaV2ForQuestionAnswering
| null |
unknown
|
akdeniz27/roberta-large-cuad
|
akdeniz27
|
2023-04-05 09:58:35
| 193 | 24,456 |
['transformers', 'pytorch', 'safetensors', 'roberta', 'question-answering', 'en', 'endpoints_compatible']
|
question-answering
|
2022-03-02 23:29:05
|
cuad
|
unknown
|
RobertaForQuestionAnswering
| null |
unknown
|
akhaliq/ArcaneGANv0.4
|
akhaliq
|
2022-01-17 01:02:17
| 0 | 0 |
[]
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
unknown
| null |
unknown
|
akhooli/gpt2-small-arabic
|
akhooli
|
2023-03-20 08:04:17
| 875 | 56,066 |
['transformers', 'pytorch', 'jax', 'safetensors', 'gpt2', 'text-generation', 'ar', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
GPT2LMHeadModel
| null |
unknown
|
akhooli/mbart-large-cc25-ar-en
|
akhooli
|
2020-12-11 21:32:04
| 155 | 2,609 |
['transformers', 'pytorch', 'mbart', 'text2text-generation', 'translation', 'ar', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-03-02 23:29:05
|
unknown
|
mit
|
MBartForConditionalGeneration
| null |
unknown
|
akhooli/mbart-large-cc25-en-ar
|
akhooli
|
2020-12-11 21:32:08
| 183 | 2,444 |
['transformers', 'pytorch', 'mbart', 'text2text-generation', 'translation', 'en', 'ar', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-03-02 23:29:05
|
unknown
|
mit
|
MBartForConditionalGeneration
| null |
unknown
|
albertvillanova/autonlp-wikiann-entity_extraction-1e67664-1301123
|
albertvillanova
|
2023-04-04 06:54:04
| 50 | 6,149 |
['transformers', 'pytorch', 'safetensors', 'albert', 'token-classification', 'autonlp', 'bn', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-03-02 23:29:05
|
albertvillanova/autonlp-data-wikiann-entity_extraction-1e67664
|
unknown
|
AlbertForTokenClassification
| null |
unknown
|
alexanderfalk/danbert-small-cased
|
alexanderfalk
|
2021-09-21 15:57:39
| 122 | 10,350 |
['transformers', 'pytorch', 'jax', 'bert', 'fill-mask', 'named entity recognition', 'token criticality', 'da', 'en', 'autotrain_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
BertForMaskedLM
| null |
unknown
|
alexyalunin/RuBioRoBERTa
|
alexyalunin
|
2023-11-02 09:46:59
| 326 | 11,500 |
['transformers', 'pytorch', 'roberta', 'fill-mask', 'ru', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
RobertaForMaskedLM
| null |
unknown
|
alger-ia/dziribert
|
alger-ia
|
2023-03-17 08:45:52
| 5,978 | 555,765 |
['transformers', 'pytorch', 'tf', 'safetensors', 'bert', 'fill-mask', 'multilingual', 'ar', 'dz', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
BertForMaskedLM
| null |
unknown
|
allegro/herbert-base-cased
|
allegro
|
2022-06-09 11:36:39
| 48,907 | 5,996,860 |
['transformers', 'pytorch', 'tf', 'jax', 'bert', 'feature-extraction', 'herbert', 'pl', 'endpoints_compatible']
|
feature-extraction
|
2022-03-02 23:29:05
|
unknown
|
cc-by-4.0
|
BertModel
| null |
unknown
|
allenai/biomed_roberta_base
|
allenai
|
2022-10-03 22:05:08
| 49,931 | 997,935 |
['transformers', 'pytorch', 'jax', 'roberta', 'en', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
unknown
| null |
unknown
|
allenai/led-base-16384
|
allenai
|
2023-01-24 16:26:59
| 25,241 | 4,389,502 |
['transformers', 'pytorch', 'tf', 'led', 'text2text-generation', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
LEDForConditionalGeneration
| null |
unknown
|
allenai/led-large-16384-arxiv
|
allenai
|
2023-01-24 16:27:02
| 3,491 | 116,014 |
['transformers', 'pytorch', 'tf', 'led', 'text2text-generation', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:05
|
scientific_papers
|
apache-2.0
|
LEDForConditionalGeneration
| null |
unknown
|
allenai/led-large-16384
|
allenai
|
2023-01-24 16:27:05
| 2,981 | 298,456 |
['transformers', 'pytorch', 'tf', 'led', 'text2text-generation', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
LEDForConditionalGeneration
| null |
unknown
|
allenai/longformer-base-4096
|
allenai
|
2023-04-05 18:24:00
| 6,224,811 | 104,451,323 |
['transformers', 'pytorch', 'tf', 'rust', 'longformer', 'en', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
unknown
| null |
source
|
allenai/longformer-base-4096
|
allenai
|
2023-04-05 18:24:00
| 6,224,811 | 104,451,323 |
['transformers', 'pytorch', 'tf', 'rust', 'longformer', 'en', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
unknown
| null |
unknown
|
allenai/scibert_scivocab_cased
|
allenai
|
2022-10-03 22:04:46
| 13,554 | 1,384,696 |
['transformers', 'pytorch', 'jax', 'bert', 'en', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
unknown
| null |
unknown
|
allenai/specter
|
allenai
|
2023-10-18 04:19:07
| 40,972 | 11,080,035 |
['transformers', 'pytorch', 'tf', 'jax', 'bert', 'feature-extraction', 'en', 'endpoints_compatible']
|
feature-extraction
|
2022-03-02 23:29:05
|
SciDocs
|
apache-2.0
|
BertModel
| null |
unknown
|
allenai/t5-small-squad2-question-generation
|
allenai
|
2023-01-24 16:27:47
| 2,046 | 182,510 |
['transformers', 'pytorch', 'jax', 't5', 'text2text-generation', 'en', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
T5ForConditionalGeneration
| null |
unknown
|
alvaroalon2/biobert_chemical_ner
|
alvaroalon2
|
2023-03-17 12:10:54
| 4,133 | 1,592,713 |
['transformers', 'pytorch', 'tf', 'bert', 'token-classification', 'NER', 'Biomedical', 'Chemicals', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-03-02 23:29:05
|
BC5CDR-chemicals_BC4CHEMD
|
apache-2.0
|
BertForTokenClassification
| null |
unknown
|
alvaroalon2/biobert_diseases_ner
|
alvaroalon2
|
2023-03-17 12:11:20
| 12,624 | 850,842 |
['transformers', 'pytorch', 'bert', 'token-classification', 'NER', 'Biomedical', 'Diseases', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-03-02 23:29:05
|
BC5CDR-diseases_ncbi_disease
|
apache-2.0
|
BertForTokenClassification
| null |
unknown
|
alvaroalon2/biobert_genetic_ner
|
alvaroalon2
|
2023-03-17 12:11:30
| 2,990 | 362,633 |
['transformers', 'pytorch', 'bert', 'token-classification', 'NER', 'Biomedical', 'Genetics', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-03-02 23:29:05
|
JNLPBA_BC2GM
|
apache-2.0
|
BertForTokenClassification
| null |
unknown
|
am4nsolanki/autonlp-text-hateful-memes-36789092
|
am4nsolanki
|
2021-11-28 22:35:30
| 159 | 1,145 |
['transformers', 'pytorch', 'distilbert', 'text-classification', 'autonlp', 'en', 'co2_eq_emissions', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
am4nsolanki/autonlp-data-text-hateful-memes
|
unknown
|
DistilBertForSequenceClassification
| null |
unknown
|
antoinelouis/netbert
|
antoinelouis
|
2024-03-25 16:50:20
| 74 | 5,015 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
BertForMaskedLM
| null |
unknown
|
citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
|
citizenlab
|
2022-12-02 13:49:38
| 8,771 | 802,572 |
['transformers', 'pytorch', 'xlm-roberta', 'text-classification', 'en', 'nl', 'fr', 'pt', 'it', 'es', 'de', 'da', 'pl', 'af', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
jigsaw_toxicity_pred
|
unknown
|
XLMRobertaForSequenceClassification
| null |
unknown
|
zhihan1996/DNA_bert_6
|
zhihan1996
|
2023-10-30 19:26:08
| 3,135 | 1,879,257 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'custom_code', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
arpanghoshal/EmoRoBERTa
|
arpanghoshal
|
2024-09-11 19:54:35
| 9,609 | 2,939,220 |
['transformers', 'tf', 'roberta', 'text-classification', 'tensorflow', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
go_emotions
|
mit
|
RobertaForSequenceClassification
| null |
unknown
|
asafaya/bert-base-arabic
|
asafaya
|
2023-03-17 11:32:17
| 17,724 | 1,570,293 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'ar', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
oscar_wikipedia
|
unknown
|
BertForMaskedLM
| null |
unknown
|
asapp/sew-d-base-plus-400k-ft-ls100h
|
asapp
|
2025-01-18 03:19:58
| 206 | 2,669 |
['transformers', 'pytorch', 'safetensors', 'sew-d', 'automatic-speech-recognition', 'audio', 'speech', 'hf-asr-leaderboard', 'en', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-03-02 23:29:05
|
librispeech_asr
|
apache-2.0
|
SEWDForCTC
| null |
unknown
|
atharvamundada99/bert-large-question-answering-finetuned-legal
|
atharvamundada99
|
2021-05-24 15:10:08
| 3,321 | 71,901 |
['transformers', 'pytorch', 'bert', 'question-answering', 'endpoints_compatible']
|
question-answering
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForQuestionAnswering
| null |
unknown
|
aubmindlab/bert-base-arabert
|
aubmindlab
|
2023-08-03 12:32:51
| 204,501 | 1,400,887 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'ar', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
aubmindlab/bert-base-arabertv02-twitter
|
aubmindlab
|
2023-03-23 16:26:59
| 4,515 | 197,545 |
['transformers', 'pytorch', 'tensorboard', 'safetensors', 'bert', 'fill-mask', 'ar', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
aubmindlab/bert-base-arabertv02
|
aubmindlab
|
2024-03-26 14:39:39
| 669,209 | 5,407,645 |
['transformers', 'pytorch', 'tf', 'jax', 'tensorboard', 'safetensors', 'bert', 'fill-mask', 'ar', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
wikipedia_Osian_1.5B-Arabic-Corpus_oscar-arabic-unshuffled_Assafir-private
|
unknown
|
BertForMaskedLM
| null |
source
|
aubmindlab/bert-base-arabertv2
|
aubmindlab
|
2023-08-03 12:32:06
| 80,312 | 959,588 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'ar', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
wikipedia_Osian_1.5B-Arabic-Corpus_oscar-arabic-unshuffled
|
unknown
|
BertForMaskedLM
| null |
unknown
|
beomi/KcELECTRA-base
|
beomi
|
2024-05-23 13:26:43
| 3,495 | 1,055,279 |
['transformers', 'pytorch', 'safetensors', 'electra', 'pretraining', 'korean', 'ko', 'en', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:05
|
unknown
|
mit
|
ElectraForPreTraining
| null |
unknown
|
beomi/kcbert-base
|
beomi
|
2023-03-30 08:52:15
| 25,925 | 2,821,349 |
['transformers', 'pytorch', 'jax', 'safetensors', 'bert', 'fill-mask', 'korean', 'ko', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
BertForMaskedLM
| null |
unknown
|
bertin-project/bertin-roberta-base-spanish
|
bertin-project
|
2024-07-17 17:00:37
| 28,456 | 298,679 |
['transformers', 'pytorch', 'jax', 'tensorboard', 'safetensors', 'roberta', 'fill-mask', 'spanish', 'es', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-03-02 23:29:05
|
bertin-project/mc4-es-sampled
|
cc-by-4.0
|
RobertaForMaskedLM
| null |
unknown
|
shaktiman404/dummy-bert-base-cased
|
shaktiman404
|
2021-06-24 11:46:32
| 130 | 396 |
['transformers', 'pytorch', 'bert', 'feature-extraction', 'text-embeddings-inference', 'endpoints_compatible']
|
feature-extraction
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertModel
| null |
unknown
|
bhadresh-savani/bert-base-go-emotion
|
bhadresh-savani
|
2021-11-29 10:43:10
| 3,940 | 1,801,991 |
['transformers', 'pytorch', 'bert', 'text-classification', 'go-emotion', 'en', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
go_emotions
|
apache-2.0
|
DistilBertForMultilabelSequenceClassification
| null |
unknown
|
bhadresh-savani/bert-base-uncased-emotion
|
bhadresh-savani
|
2023-03-22 08:43:48
| 22,941 | 1,108,311 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'bert', 'text-classification', 'emotion', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
emotion
|
apache-2.0
|
BertForSequenceClassification
| null |
unknown
|
bhadresh-savani/distilbert-base-uncased-emotion
|
bhadresh-savani
|
2024-08-14 14:11:10
| 101,497 | 14,110,145 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'distilbert', 'text-classification', 'emotion', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
emotion
|
apache-2.0
|
DistilBertForSequenceClassification
| null |
unknown
|
bigscience/T0pp
|
bigscience
|
2024-03-19 16:02:07
| 26,010 | 661,396 |
['transformers', 'pytorch', 'safetensors', 't5', 'text2text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text2text-generation
|
2022-03-02 23:29:05
|
bigscience/P3
|
apache-2.0
|
T5ForConditionalGeneration
| null |
unknown
|
bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12
|
bionlp
|
2021-09-24 07:46:11
| 32,772 | 601,894 |
['transformers', 'pytorch', 'jax', 'bert', 'bluebert', 'en', 'endpoints_compatible']
|
unknown
|
2022-03-02 23:29:05
|
PubMed_MIMIC-III
|
cc0-1.0
|
unknown
| null |
unknown
|
bolbolzaban/gpt2-persian
|
bolbolzaban
|
2021-05-21 14:23:14
| 1,193 | 85,402 |
['transformers', 'pytorch', 'tf', 'jax', 'gpt2', 'text-generation', 'farsi', 'persian', 'fa', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-03-02 23:29:05
|
unknown
|
apache-2.0
|
GPT2LMHeadModel
| null |
unknown
|
DATEXIS/CORe-clinical-diagnosis-prediction
|
DATEXIS
|
2022-02-17 09:36:23
| 1,433 | 30,143 |
['transformers', 'pytorch', 'bert', 'text-classification', 'medical', 'clinical', 'diagnosis', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForSequenceClassification
| null |
unknown
|
DATEXIS/CORe-clinical-mortality-prediction
|
DATEXIS
|
2021-11-30 13:28:29
| 237 | 11,905 |
['transformers', 'pytorch', 'bert', 'text-classification', 'medical', 'clinical', 'mortality', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-03-02 23:29:05
|
unknown
|
unknown
|
BertForSequenceClassification
| 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.