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spacy/sv_core_news_sm | spacy | 2023-10-10 06:35:38 | 131 | 816 | ['spacy', 'token-classification', 'sv', 'model-index'] | token-classification | 2022-05-02 07:56:09 | unknown | cc-by-sa-4.0 | unknown | null | unknown |
nielsr/layoutlmv3-finetuned-funsd | nielsr | 2023-09-16 10:14:49 | 2,003 | 57,257 | ['transformers', 'pytorch', 'tensorboard', 'safetensors', 'layoutlmv3', 'token-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible'] | token-classification | 2022-05-02 16:18:22 | nielsr/funsd-layoutlmv3 | unknown | LayoutLMv3ForTokenClassification | ['microsoft/layoutlmv3-base'] | finetune |
ml4pubmed/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext_pub_section | ml4pubmed | 2023-03-20 14:09:51 | 269 | 5,999 | ['transformers', 'pytorch', 'onnx', 'safetensors', 'bert', 'text-classification', 'document sections', 'sentence classification', 'document classification', 'medical', 'health', 'biomedical', 'en', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-04 00:14:18 | pubmed_ml4pubmed/pubmed-classification-20k | apache-2.0 | BertForSequenceClassification | null | unknown |
StanfordAIMI/RadBERT | StanfordAIMI | 2022-11-19 01:10:33 | 954 | 355,721 | ['transformers', 'pytorch', 'bert', 'fill-mask', 'biobert', 'radbert', 'language-model', 'uncased', 'radiology', 'biomedical', 'en', 'autotrain_compatible', 'endpoints_compatible'] | fill-mask | 2022-05-04 00:48:50 | wikipedia_bookscorpus_pubmed_radreports | mit | BertForMaskedLM | null | unknown |
qanastek/XLMRoberta-Alexa-Intents-Classification | qanastek | 2022-05-05 00:52:15 | 5,016 | 82,722 | ['transformers', 'pytorch', 'Transformers', 'text-classification', 'intent-classification', 'multi-class-classification', 'natural-language-understanding', 'endpoints_compatible'] | text-classification | 2022-05-04 22:36:57 | qanastek/MASSIVE | cc-by-4.0 | unknown | null | unknown |
SBB/sbb_binarization | SBB | 2024-07-05 13:08:35 | 0 | 0 | ['tf-keras', 'image-to-image', 'pixelwise-segmentation'] | image-to-image | 2022-05-05 22:02:55 | DIBCO_H-DIBCO | apache-2.0 | unknown | null | unknown |
microsoft/BiomedVLP-CXR-BERT-general | microsoft | 2022-07-11 14:52:52 | 15,786 | 426,458 | ['transformers', 'pytorch', 'bert', 'fill-mask', 'exbert', 'en', 'autotrain_compatible', 'endpoints_compatible'] | fill-mask | 2022-05-05 22:10:13 | unknown | mit | BertForMaskedLM | null | unknown |
shibing624/bert4ner-base-chinese | shibing624 | 2024-02-19 09:23:05 | 1,267 | 26,112 | ['transformers', 'pytorch', 'safetensors', 'bert', 'token-classification', 'zh', 'ner', 'autotrain_compatible', 'endpoints_compatible'] | token-classification | 2022-05-07 08:24:29 | unknown | apache-2.0 | BertForTokenClassification | null | unknown |
khanhld/wav2vec2-base-vietnamese-160h | khanhld | 2024-11-22 09:01:29 | 458 | 11,406 | ['transformers', 'pytorch', 'wav2vec2', 'automatic-speech-recognition', 'audio', 'speech', 'Transformer', 'vietnamese', 'vi', 'model-index', 'endpoints_compatible'] | automatic-speech-recognition | 2022-05-07 08:54:51 | vivos_common_voice_FOSD_VLSP | cc-by-nc-4.0 | Wav2Vec2ForCTC | null | unknown |
staka/fugumt-en-ja | staka | 2023-08-15 08:45:04 | 55,608 | 559,699 | ['transformers', 'pytorch', 'marian', 'text2text-generation', 'translation', 'en', 'ja', 'autotrain_compatible', 'endpoints_compatible'] | translation | 2022-05-08 04:23:57 | unknown | cc-by-sa-4.0 | MarianMTModel | null | unknown |
vitouphy/wav2vec2-xls-r-300m-timit-phoneme | vitouphy | 2023-05-13 17:04:31 | 20,854 | 115,971 | ['transformers', 'pytorch', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'en', 'generated_from_trainer', 'model-index', 'endpoints_compatible'] | automatic-speech-recognition | 2022-05-08 06:41:55 | unknown | apache-2.0 | Wav2Vec2ForCTC | null | unknown |
facebook/opt-125m | facebook | 2023-09-15 13:10:03 | 9,028,757 | 68,199,114 | ['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference'] | text-generation | 2022-05-11 08:25:17 | unknown | other | OPTForCausalLM | null | source |
facebook/opt-350m | facebook | 2023-09-15 13:09:50 | 966,748 | 6,057,085 | ['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference'] | text-generation | 2022-05-11 08:25:39 | unknown | other | OPTForCausalLM | null | source |
facebook/opt-1.3b | facebook | 2023-09-15 13:09:33 | 265,282 | 26,379,219 | ['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference'] | text-generation | 2022-05-11 08:26:00 | unknown | other | OPTForCausalLM | null | unknown |
facebook/opt-2.7b | facebook | 2023-09-15 13:04:38 | 62,983 | 4,156,155 | ['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference'] | text-generation | 2022-05-11 08:26:30 | unknown | other | OPTForCausalLM | null | unknown |
facebook/opt-6.7b | facebook | 2023-01-24 17:10:29 | 72,296 | 3,691,179 | ['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference'] | text-generation | 2022-05-11 08:26:52 | unknown | other | OPTForCausalLM | null | unknown |
AnnaWegmann/Style-Embedding | AnnaWegmann | 2024-11-28 17:13:27 | 300,271 | 745,875 | ['sentence-transformers', 'pytorch', 'roberta', 'feature-extraction', 'sentence-similarity', 'transformers', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible'] | sentence-similarity | 2022-05-11 12:42:35 | AnnaWegmann/StyleEmbeddingData | unknown | RobertaModel | ['FacebookAI/roberta-base'] | finetune |
microsoft/BiomedVLP-CXR-BERT-specialized | microsoft | 2024-09-10 09:07:21 | 31,608 | 1,205,503 | ['transformers', 'pytorch', 'cxr-bert', 'feature-extraction', 'exbert', 'fill-mask', 'custom_code', 'en'] | fill-mask | 2022-05-11 17:20:52 | unknown | mit | CXRBertModel | null | unknown |
ncfrey/ChemGPT-4.7M | ncfrey | 2022-06-15 15:17:11 | 2,529 | 45,257 | ['transformers', 'pytorch', 'gpt_neo', 'text-generation', 'chemistry', 'autotrain_compatible', 'endpoints_compatible'] | text-generation | 2022-05-11 19:54:55 | unknown | unknown | GPTNeoForCausalLM | null | unknown |
ncfrey/ChemGPT-1.2B | ncfrey | 2022-06-15 15:44:24 | 341 | 9,744 | ['transformers', 'pytorch', 'gpt_neo', 'text-generation', 'chemistry', 'autotrain_compatible', 'endpoints_compatible'] | text-generation | 2022-05-11 20:16:48 | unknown | unknown | GPTNeoForCausalLM | null | unknown |
neongeckocom/tts-vits-ljspeech-en | neongeckocom | 2022-08-13 08:15:12 | 23 | 826 | ['transformers', 'endpoints_compatible'] | unknown | 2022-05-12 19:23:35 | unknown | bsd-3-clause | unknown | null | unknown |
Jorgvt/CycleGAN_GTA_REAL | Jorgvt | 2024-07-11 07:49:23 | 11 | 266 | ['tf-keras', 'image-to-image'] | image-to-image | 2022-05-12 23:26:10 | unknown | unknown | unknown | null | unknown |
StanfordAIMI/RRG_scorers | StanfordAIMI | 2024-11-15 23:13:00 | 0 | 0 | [] | unknown | 2022-05-13 19:33:07 | unknown | mit | unknown | null | unknown |
Sigma/financial-sentiment-analysis | Sigma | 2022-05-14 11:48:56 | 1,164 | 392,878 | ['transformers', 'pytorch', 'tensorboard', 'bert', 'text-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-14 08:41:10 | financial_phrasebank | unknown | BertForSequenceClassification | null | unknown |
Finnish-NLP/t5-small-nl24-casing-punctuation-correction | Finnish-NLP | 2022-05-22 10:07:07 | 169 | 1,680 | ['transformers', 'pytorch', 't5', 'text2text-generation', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text2text-generation | 2022-05-15 09:52:53 | unknown | unknown | T5ForConditionalGeneration | null | unknown |
edumunozsala/beto_sentiment_analysis_es | edumunozsala | 2023-08-10 17:45:41 | 124 | 6,012 | ['transformers', 'pytorch', 'safetensors', 'bert', 'text-classification', 'sagemaker', 'beto', 'TextClassification', 'SentimentAnalysis', 'es', 'model-index', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-15 17:06:52 | IMDbreviews_es | apache-2.0 | BertForSequenceClassification | null | unknown |
soleimanian/financial-roberta-large-sentiment | soleimanian | 2022-10-12 21:04:39 | 9,649 | 801,478 | ['transformers', 'pytorch', 'roberta', 'text-classification', 'Sentiment', 'RoBERTa', 'Financial Statements', 'Accounting', 'Finance', 'Business', 'ESG', 'CSR Reports', 'Financial News', 'Earnings Call Transcripts', 'Sustainability', 'Corporate governance', 'eng', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-16 04:09:10 | unknown | apache-2.0 | RobertaForSequenceClassification | null | unknown |
paust/pko-t5-base | paust | 2022-09-14 04:44:45 | 1,040 | 51,207 | ['transformers', 'pytorch', 't5', 'text2text-generation', 'ko', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text2text-generation | 2022-05-16 11:59:13 | unknown | cc-by-4.0 | T5ForConditionalGeneration | null | unknown |
vamossyd/emtract-distilbert-base-uncased-emotion | vamossyd | 2024-02-26 19:15:22 | 1,292 | 21,084 | ['transformers', 'pytorch', 'safetensors', 'distilbert', 'text-classification', 'financial-emotion-analysis', 'emotion', 'twitter', 'stocktwits', 'en', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-17 22:58:34 | vamossyd/finance_emotions | mit | DistilBertForSequenceClassification | null | unknown |
Ahmed9275/Vit-Cifar100 | Ahmed9275 | 2022-05-19 01:26:45 | 1,585 | 50,474 | ['transformers', 'pytorch', 'tensorboard', 'vit', 'image-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible'] | image-classification | 2022-05-18 22:16:08 | cifar100 | apache-2.0 | ViTForImageClassification | null | unknown |
vitouphy/wav2vec2-xls-r-300m-phoneme | vitouphy | 2023-05-13 17:04:45 | 57,763 | 196,639 | ['transformers', 'pytorch', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'generated_from_trainer', 'endpoints_compatible'] | automatic-speech-recognition | 2022-05-19 03:03:57 | unknown | apache-2.0 | Wav2Vec2ForCTC | null | unknown |
bigscience/bloom-560m | bigscience | 2023-09-26 09:16:49 | 179,083 | 21,167,849 | ['transformers', 'pytorch', 'jax', 'onnx', 'safetensors', 'bloom', 'text-generation', 'ak', 'ar', 'as', 'bm', 'bn', 'ca', 'code', 'en', 'es', 'eu', 'fon', 'fr', 'gu', 'hi', 'id', 'ig', 'ki', 'kn', 'lg', 'ln', 'ml', 'mr', 'ne', 'nso', 'ny', 'or', 'pa', 'pt', 'rn', 'rw', 'sn', 'st', 'sw', 'ta', 'te', 'tn', 'ts', 'tum', 'tw', 'ur', 'vi', 'wo', 'xh', 'yo', 'zh', 'zhs', 'zht', 'zu', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text-generation | 2022-05-19 11:51:24 | unknown | bigscience-bloom-rail-1.0 | BloomForCausalLM | null | unknown |
bigscience/bloom-1b7 | bigscience | 2023-05-11 21:17:30 | 47,446 | 2,395,510 | ['transformers', 'pytorch', 'jax', 'safetensors', 'bloom', 'text-generation', 'ak', 'ar', 'as', 'bm', 'bn', 'ca', 'code', 'en', 'es', 'eu', 'fon', 'fr', 'gu', 'hi', 'id', 'ig', 'ki', 'kn', 'lg', 'ln', 'ml', 'mr', 'ne', 'nso', 'ny', 'or', 'pa', 'pt', 'rn', 'rw', 'sn', 'st', 'sw', 'ta', 'te', 'tn', 'ts', 'tum', 'tw', 'ur', 'vi', 'wo', 'xh', 'yo', 'zh', 'zhs', 'zht', 'zu', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text-generation | 2022-05-19 11:52:06 | unknown | bigscience-bloom-rail-1.0 | BloomForCausalLM | null | source |
bigscience/bloom-3b | bigscience | 2023-04-14 08:43:29 | 18,634 | 636,600 | ['transformers', 'pytorch', 'safetensors', 'bloom', 'text-generation', 'ak', 'ar', 'as', 'bm', 'bn', 'ca', 'code', 'en', 'es', 'eu', 'fon', 'fr', 'gu', 'hi', 'id', 'ig', 'ki', 'kn', 'lg', 'ln', 'ml', 'mr', 'ne', 'nso', 'ny', 'or', 'pa', 'pt', 'rn', 'rw', 'sn', 'st', 'sw', 'ta', 'te', 'tn', 'ts', 'tum', 'tw', 'ur', 'vi', 'wo', 'xh', 'yo', 'zh', 'zhs', 'zht', 'zu', 'model-index', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text-generation | 2022-05-19 11:52:27 | unknown | bigscience-bloom-rail-1.0 | BloomForCausalLM | null | unknown |
pszemraj/opt-350m-email-generation | pszemraj | 2023-03-18 23:38:08 | 272 | 5,493 | ['transformers', 'pytorch', 'safetensors', 'opt', 'text-generation', 'generated_from_trainer', 'custom-license', 'no-commercial', 'email', 'auto-complete', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text-generation | 2022-05-19 17:40:35 | aeslc | other | OPTForCausalLM | null | unknown |
nreimers/mmarco-mMiniLMv2-L6-H384-v1 | nreimers | 2022-05-20 07:39:37 | 250 | 5,189 | ['transformers', 'pytorch', 'xlm-roberta', 'text-classification', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-20 07:38:11 | unknown | unknown | XLMRobertaForSequenceClassification | null | unknown |
Davlan/afro-xlmr-large | Davlan | 2023-09-11 07:37:38 | 5,865 | 75,921 | ['transformers', 'pytorch', 'jax', 'safetensors', 'xlm-roberta', 'fill-mask', 'generated_from_trainer', 'en', 'fr', 'ar', 'ha', 'ig', 'yo', 'rn', 'rw', 'sn', 'xh', 'zu', 'om', 'am', 'so', 'st', 'ny', 'mg', 'sw', 'af', 'autotrain_compatible', 'endpoints_compatible'] | fill-mask | 2022-05-20 15:20:56 | unknown | mit | XLMRobertaForMaskedLM | null | unknown |
globuslabs/ScholarBERT | globuslabs | 2023-06-28 19:59:26 | 544 | 2,750 | ['transformers', 'pytorch', 'safetensors', 'bert', 'fill-mask', 'science', 'multi-displinary', 'en', 'autotrain_compatible', 'endpoints_compatible'] | fill-mask | 2022-05-22 22:15:16 | unknown | apache-2.0 | BertForMaskedLM | null | unknown |
csebuetnlp/banglat5 | csebuetnlp | 2022-08-21 13:59:20 | 1,573 | 29,284 | ['transformers', 'pytorch', 't5', 'text2text-generation', 'bn', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text2text-generation | 2022-05-23 07:51:38 | unknown | unknown | T5ForConditionalGeneration | null | unknown |
ai4bharat/IndicNER | ai4bharat | 2022-12-21 02:45:48 | 22,299 | 1,956,098 | ['transformers', 'pytorch', 'bert', 'token-classification', 'ner', 'Pytorch', 'transformer', 'multilingual', 'nlp', 'indicnlp', 'as', 'bn', 'gu', 'hi', 'kn', 'ml', 'mr', 'or', 'pa', 'ta', 'te', 'autotrain_compatible', 'endpoints_compatible'] | token-classification | 2022-05-23 11:12:43 | Samanantar | mit | BertForTokenClassification | null | unknown |
oliverguhr/spelling-correction-english-base | oliverguhr | 2023-12-18 08:46:53 | 3,047 | 293,607 | ['transformers', 'pytorch', 'tensorboard', 'onnx', 'safetensors', 'bart', 'text2text-generation', 'en', 'autotrain_compatible', 'endpoints_compatible'] | text2text-generation | 2022-05-23 15:26:21 | unknown | mit | BartForConditionalGeneration | null | unknown |
eleldar/language-detection | eleldar | 2022-05-24 10:06:00 | 329 | 209,567 | ['transformers', 'pytorch', 'tf', 'xlm-roberta', 'text-classification', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-24 09:30:04 | unknown | mit | XLMRobertaForSequenceClassification | null | unknown |
jonas/sdg_classifier_osdg | jonas | 2022-09-20 06:46:22 | 77 | 3,503 | ['transformers', 'pytorch', 'bert', 'text-classification', 'en', 'co2_eq_emissions', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-24 11:49:08 | jonas/osdg_sdg_data_processed | unknown | BertForSequenceClassification | null | unknown |
ccdv/lsg-bart-base-4096-multinews | ccdv | 2023-12-17 21:10:18 | 331 | 2,641 | ['transformers', 'pytorch', 'bart', 'text2text-generation', 'summarization', 'custom_code', 'en', 'autotrain_compatible'] | summarization | 2022-05-25 11:09:23 | multi_news | unknown | LSGBartForConditionalGeneration | null | unknown |
neuralmagic/oBERT-6-downstream-pruned-block4-80-squadv1 | neuralmagic | 2022-07-31 19:52:34 | 206 | 355 | ['transformers', 'pytorch', 'bert', 'oBERT', 'sparsity', 'pruning', 'compression', 'en', 'endpoints_compatible'] | unknown | 2022-05-25 14:00:18 | squad | unknown | unknown | null | unknown |
aioxlabs/dvoice-amharic | aioxlabs | 2022-05-28 08:22:00 | 49 | 350 | ['speechbrain', 'wav2vec2', 'CTC', 'pytorch', 'Transformer', 'automatic-speech-recognition', 'dar'] | automatic-speech-recognition | 2022-05-26 12:41:35 | commonvoice | apache-2.0 | Wav2Vec2Model | null | unknown |
imdanboy/jets | imdanboy | 2022-05-28 16:37:49 | 20 | 2,522 | ['espnet', 'audio', 'text-to-speech', 'en'] | text-to-speech | 2022-05-28 16:23:06 | ljspeech | cc-by-4.0 | unknown | null | unknown |
imdanboy/ljspeech_tts_train_jets_raw_phn_tacotron_g2p_en_no_space_train.total_count.ave | imdanboy | 2022-05-28 16:52:35 | 5 | 704 | ['espnet', 'audio', 'text-to-speech', 'en'] | text-to-speech | 2022-05-28 16:51:54 | ljspeech | cc-by-4.0 | unknown | null | unknown |
speechbrain/tts-tacotron2-ljspeech | speechbrain | 2024-02-19 15:16:07 | 4,759 | 125,156 | ['speechbrain', 'text-to-speech', 'TTS', 'speech-synthesis', 'Tacotron2', 'en'] | text-to-speech | 2022-05-28 21:09:37 | LJSpeech | apache-2.0 | unknown | null | unknown |
speechbrain/tts-hifigan-ljspeech | speechbrain | 2024-02-25 23:08:30 | 9,252 | 228,460 | ['speechbrain', 'Vocoder', 'HiFIGAN', 'text-to-speech', 'TTS', 'speech-synthesis', 'en'] | text-to-speech | 2022-05-28 22:37:20 | LJSpeech | apache-2.0 | unknown | null | unknown |
nickmuchi/deberta-v3-base-finetuned-finance-text-classification | nickmuchi | 2023-03-19 00:32:56 | 6,144 | 35,354 | ['transformers', 'pytorch', 'tensorboard', 'safetensors', 'deberta-v2', 'text-classification', 'generated_from_trainer', 'financial-sentiment-analysis', 'sentiment-analysis', 'sentence_50agree', 'stocks', 'sentiment', 'finance', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-29 16:29:22 | financial_phrasebank_Kaggle_Self_label_nickmuchi/financial-classification | mit | DebertaV2ForSequenceClassification | null | unknown |
ahmeddbahaa/mT5_multilingual_XLSum-finetuned-fa | ahmeddbahaa | 2022-06-08 15:51:15 | 88 | 667 | ['transformers', 'pytorch', 'tensorboard', 'mt5', 'text2text-generation', 'summarization', 'fa', 'Abstractive Summarization', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible'] | summarization | 2022-05-29 17:01:06 | pn_summary | unknown | MT5ForConditionalGeneration | null | unknown |
PrimeQA/t5-base-table-question-generator | PrimeQA | 2022-08-23 12:43:46 | 198 | 2,081 | ['transformers', 'pytorch', 't5', 'text2text-generation', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text2text-generation | 2022-05-30 08:43:01 | unknown | apache-2.0 | T5ForConditionalGeneration | null | unknown |
apple/mobilevit-small | apple | 2025-02-24 21:25:21 | 723,231 | 4,739,367 | ['transformers', 'pytorch', 'tf', 'coreml', 'mobilevit', 'image-classification', 'vision', 'autotrain_compatible', 'endpoints_compatible'] | image-classification | 2022-05-30 12:43:23 | imagenet-1k | other | MobileViTForImageClassification | null | unknown |
apple/deeplabv3-mobilevit-small | apple | 2025-02-27 18:12:41 | 1,022 | 25,293 | ['transformers', 'pytorch', 'tf', 'coreml', 'mobilevit', 'vision', 'image-segmentation', 'endpoints_compatible'] | image-segmentation | 2022-05-30 12:49:24 | pascal-voc | apple-amlr | MobileViTForSemanticSegmentation | null | unknown |
AAUBS/PatentSBERTa_V2 | AAUBS | 2024-08-26 09:54:54 | 989 | 8,024 | ['sentence-transformers', 'pytorch', 'mpnet', 'feature-extraction', 'sentence-similarity', 'transformers', 'autotrain_compatible', 'endpoints_compatible'] | sentence-similarity | 2022-05-30 13:05:57 | unknown | unknown | MPNetModel | null | unknown |
M-CLIP/XLM-Roberta-Large-Vit-B-16Plus | M-CLIP | 2022-09-15 10:45:56 | 75,545 | 607,479 | ['transformers', 'pytorch', 'tf', 'multilingual', 'af', 'sq', 'am', 'ar', 'az', 'bn', 'bs', 'bg', 'ca', 'zh', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fr', 'de', 'el', 'hi', 'hu', 'is', 'id', 'it', 'ja', 'mk', 'ml', 'mr', 'pl', 'pt', 'ro', 'ru', 'sr', 'sl', 'es', 'sw', 'sv', 'tl', 'te', 'tr', 'tk', 'uk', 'ur', 'ug', 'uz', 'vi', 'xh', 'endpoints_compatible'] | unknown | 2022-05-30 21:33:14 | unknown | unknown | unknown | null | unknown |
nghuyong/ernie-health-zh | nghuyong | 2022-09-10 09:13:33 | 518 | 32,756 | ['transformers', 'pytorch', 'ernie', 'feature-extraction', 'zh', 'endpoints_compatible'] | feature-extraction | 2022-05-31 08:43:33 | unknown | unknown | ErnieModel | null | unknown |
M-CLIP/LABSE-Vit-L-14 | M-CLIP | 2022-06-02 23:26:39 | 1,733 | 26,064 | ['transformers', 'pytorch', 'tf', 'multilingual', 'endpoints_compatible'] | unknown | 2022-05-31 09:40:25 | unknown | unknown | unknown | null | unknown |
M-CLIP/XLM-Roberta-Large-Vit-B-32 | M-CLIP | 2022-09-15 10:45:49 | 19,221 | 32,122,403 | ['transformers', 'pytorch', 'tf', 'M-CLIP', 'multilingual', 'af', 'sq', 'am', 'ar', 'az', 'bn', 'bs', 'bg', 'ca', 'zh', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fr', 'de', 'el', 'hi', 'hu', 'is', 'id', 'it', 'ja', 'mk', 'ml', 'mr', 'pl', 'pt', 'ro', 'ru', 'sr', 'sl', 'es', 'sw', 'sv', 'tl', 'te', 'tr', 'tk', 'uk', 'ur', 'ug', 'uz', 'vi', 'xh', 'endpoints_compatible'] | unknown | 2022-05-31 09:50:54 | unknown | unknown | SentenceModelWithLinearTransformation | null | unknown |
t-bank-ai/response-quality-classifier-large | t-bank-ai | 2022-06-01 06:34:44 | 172 | 13,264 | ['transformers', 'pytorch', 'roberta', 'text-classification', 'conversational', 'ru', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-05-31 10:18:01 | unknown | mit | RobertaForSequenceClassification | null | unknown |
cross-encoder/mmarco-mMiniLMv2-L12-H384-v1 | cross-encoder | 2024-12-12 11:30:16 | 11,707 | 370,282 | ['transformers', 'pytorch', 'safetensors', 'xlm-roberta', 'text-classification', 'en', 'ar', 'zh', 'nl', 'fr', 'de', 'hi', 'in', 'it', 'ja', 'pt', 'ru', 'es', 'vi', 'multilingual', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-06-01 08:27:31 | unicamp-dl/mmarco | apache-2.0 | XLMRobertaForSequenceClassification | null | unknown |
classla/bcms-bertic-parlasent-bcs-ter | classla | 2023-06-23 06:38:11 | 209 | 2,370 | ['transformers', 'pytorch', 'safetensors', 'electra', 'text-classification', 'sentiment-analysis', 'hr', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-06-01 09:00:25 | unknown | unknown | ElectraForSequenceClassification | null | unknown |
keras-io/timeseries-anomaly-detection | keras-io | 2024-07-09 13:36:33 | 62 | 1,445 | ['tf-keras', 'tensorboard', 'tabular-regression', 'time-series', 'anomaly-detection'] | tabular-regression | 2022-06-01 15:19:26 | unknown | unknown | unknown | null | unknown |
EleutherAI/enformer-official-rough | EleutherAI | 2022-06-12 20:46:42 | 44,133 | 460,741 | ['transformers', 'pytorch', 'enformer'] | unknown | 2022-06-01 20:42:11 | unknown | cc-by-4.0 | Enformer | null | unknown |
TencentGameMate/chinese-hubert-base | TencentGameMate | 2022-06-24 01:52:57 | 2,501 | 593,639 | ['transformers', 'pytorch', 'hubert', 'feature-extraction', 'endpoints_compatible'] | feature-extraction | 2022-06-02 06:21:23 | unknown | mit | HubertModel | null | unknown |
TencentGameMate/chinese-hubert-large | TencentGameMate | 2022-06-24 01:57:26 | 2,752 | 447,416 | ['transformers', 'pytorch', 'hubert', 'feature-extraction', 'endpoints_compatible'] | feature-extraction | 2022-06-02 06:22:33 | unknown | mit | HubertModel | null | unknown |
philschmid/BERT-Banking77 | philschmid | 2022-12-05 13:36:09 | 3,634 | 172,970 | ['transformers', 'pytorch', 'bert', 'text-classification', 'autotrain', 'en', 'model-index', 'co2_eq_emissions', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-06-02 10:37:57 | banking77 | unknown | BertForSequenceClassification | null | unknown |
RUCAIBox/mtl-data-to-text | RUCAIBox | 2022-06-27 02:27:10 | 522 | 18,056 | ['transformers', 'pytorch', 'mvp', 'text-generation', 'text2text-generation', 'en', 'endpoints_compatible'] | text2text-generation | 2022-06-02 12:01:55 | unknown | apache-2.0 | unknown | null | unknown |
huggingtweets/gaytimes-grindr | huggingtweets | 2022-06-02 12:50:16 | 182 | 447 | ['transformers', 'pytorch', 'gpt2', 'text-generation', 'huggingtweets', 'en', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text-generation | 2022-06-02 12:34:42 | unknown | unknown | GPT2LMHeadModel | null | unknown |
sb3/sac-Humanoid-v3 | sb3 | 2022-10-11 15:15:36 | 36 | 11,078 | ['stable-baselines3', 'Humanoid-v3', 'deep-reinforcement-learning', 'reinforcement-learning', 'model-index'] | reinforcement-learning | 2022-06-02 16:44:09 | unknown | unknown | unknown | null | unknown |
sb3/dqn-SpaceInvadersNoFrameskip-v4 | sb3 | 2022-10-11 15:17:43 | 481 | 1,421 | ['stable-baselines3', 'SpaceInvadersNoFrameskip-v4', 'deep-reinforcement-learning', 'reinforcement-learning', 'model-index'] | reinforcement-learning | 2022-06-02 18:22:16 | unknown | unknown | unknown | null | unknown |
agne/jobBERT-de | agne | 2022-06-03 13:53:31 | 221 | 4,101 | ['transformers', 'pytorch', 'bert', 'fill-mask', 'de', 'autotrain_compatible', 'endpoints_compatible'] | fill-mask | 2022-06-03 06:53:53 | unknown | cc-by-nc-sa-4.0 | BertForMaskedLM | null | unknown |
agne/jobGBERT | agne | 2022-06-03 13:52:50 | 143 | 2,244 | ['transformers', 'pytorch', 'bert', 'fill-mask', 'de', 'autotrain_compatible', 'endpoints_compatible'] | fill-mask | 2022-06-03 09:03:44 | unknown | cc-by-nc-sa-4.0 | BertForMaskedLM | null | unknown |
yanekyuk/bert-keyword-extractor | yanekyuk | 2022-06-04 00:51:39 | 881 | 25,920 | ['transformers', 'pytorch', 'bert', 'token-classification', 'generated_from_trainer', 'en', 'autotrain_compatible', 'endpoints_compatible'] | token-classification | 2022-06-03 23:06:00 | unknown | apache-2.0 | BertForTokenClassification | null | unknown |
yanekyuk/camembert-keyword-extractor | yanekyuk | 2022-06-04 10:28:45 | 113,084 | 910,082 | ['transformers', 'pytorch', 'camembert', 'token-classification', 'generated_from_trainer', 'fr', 'autotrain_compatible', 'endpoints_compatible'] | token-classification | 2022-06-04 02:03:03 | unknown | mit | CamembertForTokenClassification | null | unknown |
wannaphong/wav2vec2-large-xlsr-53-th-cv8-newmm | wannaphong | 2022-08-10 05:40:25 | 7,625 | 291,308 | ['transformers', 'pytorch', 'wav2vec2', 'automatic-speech-recognition', 'th', 'endpoints_compatible'] | automatic-speech-recognition | 2022-06-06 09:01:59 | common_voice | apache-2.0 | Wav2Vec2ForCTC | null | unknown |
MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli | MoritzLaurer | 2024-04-11 13:49:10 | 216,258 | 2,018,495 | ['transformers', 'pytorch', 'onnx', 'safetensors', 'deberta-v2', 'text-classification', 'zero-shot-classification', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible'] | zero-shot-classification | 2022-06-06 18:28:10 | multi_nli_facebook/anli_fever_lingnli_alisawuffles/WANLI | mit | DebertaV2ForSequenceClassification | ['microsoft/deberta-v3-large'] | unknown_annotated |
Theivaprakasham/layoutlmv3-finetuned-invoice | Theivaprakasham | 2022-06-07 07:35:54 | 707 | 17,860 | ['transformers', 'pytorch', 'tensorboard', 'layoutlmv3', 'token-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible'] | token-classification | 2022-06-07 04:11:33 | invoice | unknown | LayoutLMv3ForTokenClassification | null | unknown |
KB/bert-base-swedish-cased | KB | 2022-06-07 16:31:14 | 10,649 | 1,021,874 | ['transformers', 'pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'sv', 'autotrain_compatible', 'endpoints_compatible'] | fill-mask | 2022-06-07 16:28:03 | unknown | unknown | BertForMaskedLM | null | unknown |
KB/bert-base-swedish-cased-ner | KB | 2022-06-07 16:34:49 | 13,365 | 1,984,588 | ['transformers', 'pytorch', 'tf', 'jax', 'bert', 'token-classification', 'sv', 'autotrain_compatible', 'endpoints_compatible'] | token-classification | 2022-06-07 16:31:50 | unknown | unknown | BertForTokenClassification | null | unknown |
IDEA-CCNL/Randeng-T5-77M | IDEA-CCNL | 2023-05-26 06:35:12 | 147 | 9,072 | ['transformers', 'pytorch', 'mt5', 'text2text-generation', 'T5', 'chinese', 'sentencepiece', 'zh', 'autotrain_compatible', 'endpoints_compatible'] | text2text-generation | 2022-06-08 09:04:03 | unknown | apache-2.0 | MT5ForConditionalGeneration | null | unknown |
Yehor/w2v-xls-r-uk | Yehor | 2025-02-20 15:08:11 | 209,670 | 1,914,839 | ['transformers', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'uk', 'model-index', 'endpoints_compatible'] | automatic-speech-recognition | 2022-06-08 12:31:06 | mozilla-foundation/common_voice_10_0 | apache-2.0 | Wav2Vec2ForCTC | ['facebook/wav2vec2-xls-r-300m'] | finetune |
MilaNLProc/hate-ita | MilaNLProc | 2022-12-30 18:33:50 | 142 | 2,678 | ['transformers', 'pytorch', 'xlm-roberta', 'text-classification', 'text classification', 'abusive language', 'hate speech', 'offensive language', 'it', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-06-08 12:46:39 | unknown | gpl-3.0 | XLMRobertaForSequenceClassification | null | unknown |
Jihuai/bert-ancient-chinese | Jihuai | 2023-02-20 02:37:01 | 954 | 13,037 | ['transformers', 'pytorch', 'bert', 'fill-mask', 'chinese', 'classical chinese', 'literary chinese', 'ancient chinese', 'zh', 'autotrain_compatible'] | fill-mask | 2022-06-09 06:18:59 | unknown | apache-2.0 | BertForMaskedLM | null | unknown |
rifkat/GPTuz | rifkat | 2022-12-07 11:13:25 | 199 | 831 | ['transformers', 'pytorch', 'tf', 'gpt2', 'text-generation', 'Text Generation', 'PyTorch', 'TensorFlow', 'Transformers', 'mit', 'uz', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible'] | text-generation | 2022-06-09 08:07:46 | unknown | apache-2.0 | GPT2LMHeadModel | null | unknown |
biu-nlp/lingmess-coref | biu-nlp | 2022-10-26 08:55:32 | 159,740 | 276,589 | ['transformers', 'pytorch', 'longformer', 'coreference-resolution', 'en', 'model-index', 'endpoints_compatible'] | unknown | 2022-06-09 19:05:32 | ontonotes | mit | LingMessCoref | null | unknown |
speechbrain/asr-wav2vec2-dvoice-darija | speechbrain | 2024-02-19 13:52:44 | 113 | 1,290 | ['speechbrain', 'wav2vec2', 'CTC', 'pytorch', 'Transformer', 'automatic-speech-recognition', 'dar'] | automatic-speech-recognition | 2022-06-09 19:09:28 | Dvoice | apache-2.0 | Wav2Vec2Model | null | unknown |
z-dickson/CAP_coded_US_Congressional_bills | z-dickson | 2022-06-09 20:56:09 | 82 | 636 | ['transformers', 'tf', 'bert', 'text-classification', 'generated_from_keras_callback', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-06-09 20:06:53 | unknown | unknown | BertForSequenceClassification | null | unknown |
nthakur/contriever-base-msmarco | nthakur | 2022-06-09 22:01:51 | 567 | 32,296 | ['sentence-transformers', 'pytorch', 'bert', 'feature-extraction', 'sentence-similarity', 'transformers', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible'] | sentence-similarity | 2022-06-09 21:50:15 | unknown | unknown | BertModel | null | unknown |
TurkuNLP/bert-large-finnish-cased-v1 | TurkuNLP | 2022-06-10 08:46:17 | 216 | 10,951 | ['transformers', 'pytorch', 'fi', 'endpoints_compatible'] | unknown | 2022-06-10 07:53:16 | unknown | apache-2.0 | unknown | null | unknown |
keras-io/Object-Detection-RetinaNet | keras-io | 2024-07-05 12:47:43 | 41 | 958 | ['tf-keras', 'tensorboard', 'ObjectDetection', 'RetinaNet', 'ResNet50', 'ObjectClassification', 'Feature Pyramid Network', 'object-detection'] | object-detection | 2022-06-10 10:11:44 | unknown | unknown | unknown | null | unknown |
facebook/roberta-hate-speech-dynabench-r4-target | facebook | 2023-03-16 20:03:57 | 1,286,842 | 12,728,126 | ['transformers', 'pytorch', 'safetensors', 'roberta', 'text-classification', 'en', 'autotrain_compatible', 'endpoints_compatible'] | text-classification | 2022-06-10 22:24:39 | unknown | unknown | RobertaForSequenceClassification | null | unknown |
keras-io/tab_transformer | keras-io | 2024-07-09 13:36:17 | 55 | 637 | ['tf-keras', 'tensorboard', 'tabular-classification', 'transformer'] | tabular-classification | 2022-06-11 14:12:07 | unknown | unknown | unknown | null | unknown |
keras-io/timeseries_forecasting_for_weather | keras-io | 2024-07-09 13:36:11 | 63 | 614 | ['tf-keras', 'tensorboard', 'time-series', 'time-series-forecasting'] | time-series-forecasting | 2022-06-12 05:30:57 | unknown | unknown | unknown | null | unknown |
bob80333/stylegan3-t-animefaces | bob80333 | 2022-06-13 21:31:20 | 0 | 0 | [] | unknown | 2022-06-13 21:28:33 | unknown | mit | unknown | null | unknown |
microsoft/swinv2-tiny-patch4-window16-256 | microsoft | 2022-12-10 10:09:55 | 341,248 | 3,486,358 | ['transformers', 'pytorch', 'swinv2', 'image-classification', 'vision', 'autotrain_compatible', 'endpoints_compatible'] | image-classification | 2022-06-14 06:17:52 | imagenet-1k | apache-2.0 | Swinv2ForImageClassification | null | unknown |
ahmeddbahaa/mt5-base-finetuned-fa | ahmeddbahaa | 2022-06-14 17:07:35 | 154 | 512 | ['transformers', 'pytorch', 'tensorboard', 'mt5', 'text2text-generation', 'summarization', 'fa', 'Abstractive Summarization', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible'] | summarization | 2022-06-14 06:28:57 | pn_summary | apache-2.0 | MT5ForConditionalGeneration | null | unknown |
eslamxm/mt5-base-finetuned-Spanish | eslamxm | 2022-06-15 05:13:08 | 335 | 1,132 | ['transformers', 'pytorch', 'tensorboard', 'mt5', 'text2text-generation', 'summarization', 'es', 'spanish', 'abstractive summarization', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible'] | summarization | 2022-06-14 18:45:17 | wiki_lingua | apache-2.0 | MT5ForConditionalGeneration | null | unknown |
Addedk/mbert-swedish-distilled-cased | Addedk | 2023-09-13 17:57:54 | 60 | 1,565 | ['transformers', 'pytorch', 'tf', 'safetensors', 'bert', 'fill-mask', 'multilingual', 'sv', 'autotrain_compatible', 'endpoints_compatible'] | fill-mask | 2022-06-15 12:22:20 | KBLab/sucx3_ner | apache-2.0 | BertForMaskedLM | null | unknown |
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