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10,900 | arnolfokam/roberta-base-swa | arnolfokam | roberta | 11 | 10 | transformers | 0 | token-classification | true | false | false | apache-2.0 | ['swa'] | ['masakhaner'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'token-classification', 'swa', 'dataset:masakhaner', 'transformers', 'NER', 'license:apache-2.0', 'autotrain_compatible'] | false | true | true | 2,289 |
10,901 | arogyaGurkha/kobert-finetuned-squad_kor_v1 | arogyaGurkha | bert | 12 | 19 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'bert', 'question-answering', 'dataset:squad_kor_v1', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | false | false | false | 0 |
10,902 | arogyaGurkha/koelectra-base-discriminator-finetuned-squad_kor_v1 | arogyaGurkha | electra | 12 | 11 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'electra', 'question-answering', 'dataset:squad_kor_v1', 'transformers', 'generated_from_trainer', 'autotrain_compatible'] | false | false | false | 0 |
10,903 | arogyaGurkha/koelectra-base-v3-finetuned-korquad-finetuned-squad_kor_v1 | arogyaGurkha | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,904 | arpanghoshal/EmoRoBERTa | arpanghoshal | roberta | 9 | 211,647 | transformers | 63 | text-classification | false | true | false | mit | ['en'] | ['go_emotions'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['tf', 'roberta', 'text-classification', 'en', 'dataset:go_emotions', 'transformers', 'tensorflow', 'license:mit', 'has_space'] | false | true | true | 1,721 |
10,905 | arredondos/my_sentence_transformer | arredondos | bert | 12 | 3 | sentence-transformers | 0 | sentence-similarity | true | false | false | apache-2.0 | ['en'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'en', 'arxiv:1904.06472', 'arxiv:2102.07033', 'arxiv:2104.08727', 'arxiv:1704.05179', 'arxiv:1810.09305', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'license:apache-2.0'] | false | true | true | 10,029 |
10,906 | arshyajabbari/Persian_Wav2Vec2_Test | arshyajabbari | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,907 | arshyajabbari/wav2vec2-large-persian-demo | arshyajabbari | wav2vec2 | 15 | 13 | transformers | 0 | automatic-speech-recognition | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'transformers'] | false | false | false | 0 |
10,908 | arshyajabbari/wav2vec2-persian | arshyajabbari | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,909 | artemis13fowl/bert-finetuned-ner-accelerate | artemis13fowl | bert | 7 | 7 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bert', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
10,910 | artemis13fowl/bert-finetuned-ner | artemis13fowl | bert | 11 | 7 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'bert', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
10,911 | artemis13fowl/code-search-net-tokenizer | artemis13fowl | null | 6 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,912 | artemis13fowl/distilbert-base-uncased-finetuned-imdb | artemis13fowl | distilbert | 9 | 8 | transformers | 0 | fill-mask | true | false | false | apache-2.0 | null | ['imdb'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'fill-mask', 'dataset:imdb', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible'] | true | true | true | 1,319 |
10,913 | artursz/wav2vec2-large-xls-r-300m-lv-v05 | artursz | wav2vec2 | 13 | 6 | transformers | 0 | automatic-speech-recognition | true | false | false | apache-2.0 | null | ['common_voice'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'license:apache-2.0'] | true | true | true | 2,324 |
10,914 | artyeth/Dorian | artyeth | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,915 | arubenecia/gpt2-wikitext2 | arubenecia | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,916 | arunkottilukkal/multi-lingual-ner-ar-de-en-es-fr-it-lv-nl-pt-zh | arunkottilukkal | null | 2 | 0 | null | 0 | null | false | false | false | gpl-3.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['license:gpl-3.0'] | false | true | false | 0 |
10,917 | arunkumar629/distilbert-base-uncased-finetuned-squad | arunkumar629 | distilbert | 11 | 8 | transformers | 0 | question-answering | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'question-answering', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
10,918 | arvalinno/albert-base-v2-finetuned-squad | arvalinno | albert | 11 | 8 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'albert', 'question-answering', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible'] | true | true | true | 1,254 |
10,919 | arvalinno/distilbert-base-uncased-finetuned-indosquad-v2 | arvalinno | distilbert | 12 | 24 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'question-answering', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible'] | true | true | true | 1,345 |
10,920 | arvalinno/distilbert-base-uncased-finetuned-squad-ori | arvalinno | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,921 | arvalinno/distilbert-base-uncased-finetuned-squad | arvalinno | distilbert | 12 | 8 | transformers | 0 | question-answering | true | false | false | apache-2.0 | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'question-answering', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible'] | true | true | true | 1,286 |
10,922 | arvalinno/indobert-base-p2-finetuned-indosquad-v2 | arvalinno | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,923 | aryanbhosale/DialoGPT-medium-harrypotter | aryanbhosale | gpt2 | 11 | 12 | transformers | 0 | conversational | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 30 |
10,924 | aryanpatke/bert-finetuned-mrpc | aryanpatke | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,925 | aryanpatke/bert-finetuned-ner | aryanpatke | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,926 | aryanpatke/code-search-net | aryanpatke | null | 6 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,927 | aryanpatke/distilbert-finetuned-imdb | aryanpatke | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,928 | aryanpatke/marian-finetuned-kde4-en-to-fr | aryanpatke | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,929 | asad/DialoGPT-small-harryporter_bot | asad | gpt2 | 11 | 12 | transformers | 0 | conversational | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 30 |
10,930 | asaelavia/distilbert-base-uncased-finetuned-cola | asaelavia | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
10,931 | asafaya/albert-base-arabic | asafaya | albert | 9 | 313 | transformers | 0 | fill-mask | true | true | false | null | ['ar'] | ['oscar', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'albert', 'fill-mask', 'ar', 'dataset:oscar', 'dataset:wikipedia', 'transformers', 'masked-lm', 'autotrain_compatible'] | false | true | true | 2,606 |
10,932 | asafaya/albert-large-arabic | asafaya | albert | 9 | 8 | transformers | 1 | fill-mask | true | true | false | null | ['ar'] | ['oscar', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'albert', 'fill-mask', 'ar', 'dataset:oscar', 'dataset:wikipedia', 'transformers', 'masked-lm', 'autotrain_compatible'] | false | true | true | 2,600 |
10,933 | asafaya/albert-xlarge-arabic | asafaya | albert | 8 | 170 | transformers | 0 | fill-mask | true | true | false | null | ['ar'] | ['oscar', 'wikipedia'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'albert', 'fill-mask', 'ar', 'dataset:oscar', 'dataset:wikipedia', 'transformers', 'masked-lm', 'autotrain_compatible'] | false | true | true | 2,604 |
10,934 | asafaya/bert-base-arabic | asafaya | bert | 10 | 6,744 | transformers | 16 | fill-mask | true | true | true | null | ['ar'] | ['oscar', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 1 | 1 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'ar', 'dataset:oscar', 'dataset:wikipedia', 'transformers', 'autotrain_compatible'] | false | true | true | 2,625 |
10,935 | asafaya/bert-large-arabic | asafaya | bert | 10 | 1,279 | transformers | 3 | fill-mask | true | true | true | null | ['ar'] | ['oscar', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'ar', 'dataset:oscar', 'dataset:wikipedia', 'transformers', 'autotrain_compatible'] | false | true | true | 2,636 |
10,936 | asafaya/bert-medium-arabic | asafaya | bert | 10 | 357 | transformers | 0 | fill-mask | true | true | true | null | ['ar'] | ['oscar', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'ar', 'dataset:oscar', 'dataset:wikipedia', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 2,639 |
10,937 | asafaya/bert-mini-arabic | asafaya | bert | 10 | 1,000 | transformers | 1 | fill-mask | true | true | true | null | ['ar'] | ['oscar', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'ar', 'dataset:oscar', 'dataset:wikipedia', 'transformers', 'autotrain_compatible'] | false | true | true | 2,628 |
10,938 | research-backup/bart-base-squad-qg-default | research-backup | bart | 35 | 10 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2001.11314', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,079 |
10,939 | research-backup/bart-base-squad-qg-no-answer | research-backup | bart | 35 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,180 |
10,940 | research-backup/bart-base-squad-qg-no-paragraph | research-backup | bart | 35 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,067 |
10,941 | lmqg/bart-base-squad-qg | lmqg | bart | 71 | 12 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 9,416 |
10,942 | research-backup/bart-large-squad-qg-default | research-backup | bart | 35 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2001.11314', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,088 |
10,943 | research-backup/bart-large-squad-qg-no-answer | research-backup | bart | 35 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,189 |
10,944 | research-backup/bart-large-squad-qg-no-paragraph | research-backup | bart | 35 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,077 |
10,945 | lmqg/bart-large-squad-qg | lmqg | bart | 72 | 25 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'bart', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 9,443 |
10,946 | lmqg/mt5-small-jaquad-qg-ae | lmqg | mt5 | 40 | 222 | transformers | 1 | text2text-generation | true | false | false | cc-by-4.0 | ['ja'] | ['lmqg/qg_jaquad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mt5', 'text2text-generation', 'ja', 'dataset:lmqg/qg_jaquad', 'arxiv:2210.03992', 'transformers', 'question generation', 'answer extraction', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 7,174 |
10,947 | lmqg/mt5-small-jaquad-qg | lmqg | mt5 | 40 | 141 | transformers | 2 | text2text-generation | true | false | false | cc-by-4.0 | ['ja'] | ['lmqg/qg_jaquad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'mt5', 'text2text-generation', 'ja', 'dataset:lmqg/qg_jaquad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 6,549 |
10,948 | research-backup/t5-base-squad-qg-default | research-backup | t5 | 34 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2001.11314', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,035 |
10,949 | lmqg/t5-base-squad-qg-ae | lmqg | t5 | 40 | 92 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'answer extraction', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 6,970 |
10,950 | research-backup/t5-base-squad-qg-no-answer | research-backup | t5 | 34 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,136 |
10,951 | research-backup/t5-base-squad-qg-no-paragraph | research-backup | t5 | 34 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,023 |
10,952 | lmqg/t5-base-squad-qg | lmqg | t5 | 70 | 156 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 9,341 |
10,953 | research-backup/t5-large-squad-qg-default | research-backup | t5 | 34 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2001.11314', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,045 |
10,954 | research-backup/t5-large-squad-qg-no-answer | research-backup | t5 | 34 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,145 |
10,955 | research-backup/t5-large-squad-qg-no-paragraph | research-backup | t5 | 34 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,032 |
10,956 | lmqg/t5-large-squad-qg | lmqg | t5 | 71 | 249 | transformers | 2 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 9,365 |
10,957 | research-backup/t5-small-squad-qg-default | research-backup | t5 | 34 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2001.11314', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,045 |
10,958 | lmqg/t5-small-squad-qg-ae | lmqg | t5 | 40 | 327 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'answer extraction', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 6,982 |
10,959 | research-backup/t5-small-squad-qg-no-answer | research-backup | t5 | 34 | 8 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,146 |
10,960 | research-backup/t5-small-squad-qg-no-paragraph | research-backup | t5 | 34 | 59 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 4,033 |
10,961 | lmqg/t5-small-squad-qg | lmqg | t5 | 70 | 156 | transformers | 0 | text2text-generation | true | false | false | cc-by-4.0 | ['en'] | ['lmqg/qg_squad'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'en', 'dataset:lmqg/qg_squad', 'arxiv:2210.03992', 'transformers', 'question generation', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible'] | true | true | true | 9,367 |
10,962 | asahi417/tner-roberta-large-multiconer-en-adapter | asahi417 | roberta | 9 | 0 | adapter-transformers | 0 | null | false | false | false | null | null | ['multiconer'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['roberta', 'dataset:multiconer', 'adapter-transformers', 'adapterhub:named-entity-recognition/multiconer'] | false | true | true | 1,189 |
10,963 | asahi417/tner-roberta-large-multiconer-en | asahi417 | roberta | 12 | 11 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
10,964 | asahi417/tner-xlm-roberta-base-all-english | asahi417 | xlm-roberta | 22 | 58 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 419 |
10,965 | tner/xlm-roberta-base-bc5cdr | tner | xlm-roberta | 16 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 408 |
10,966 | tner/xlm-roberta-base-bionlp2004 | tner | xlm-roberta | 16 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 417 |
10,967 | tner/xlm-roberta-base-conll2003 | tner | xlm-roberta | 16 | 11 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 414 |
10,968 | tner/xlm-roberta-base-fin | tner | xlm-roberta | 16 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 401 |
10,969 | asahi417/tner-xlm-roberta-base-ontonotes5 | asahi417 | xlm-roberta | 16 | 1,937 | transformers | 3 | token-classification | true | false | false | null | ['en'] | null | null | 3 | 1 | 1 | 1 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'en', 'arxiv:2209.12616', 'arxiv:1910.09700', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 5,165 |
10,970 | tner/xlm-roberta-base-panx-dataset-ar | tner | xlm-roberta | 14 | 10 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 425 |
10,971 | tner/xlm-roberta-base-panx-dataset-en | tner | xlm-roberta | 21 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 426 |
10,972 | tner/xlm-roberta-base-panx-dataset-es | tner | xlm-roberta | 14 | 10 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 427 |
10,973 | tner/xlm-roberta-base-panx-dataset-ja | tner | xlm-roberta | 14 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 426 |
10,974 | tner/xlm-roberta-base-panx-dataset-ko | tner | xlm-roberta | 14 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 427 |
10,975 | tner/xlm-roberta-base-panx-dataset-ru | tner | xlm-roberta | 14 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 426 |
10,976 | tner/xlm-roberta-base-uncased-all-english | tner | xlm-roberta | 26 | 9 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 434 |
10,977 | tner/xlm-roberta-base-uncased-bc5cdr | tner | xlm-roberta | 18 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 424 |
10,978 | tner/xlm-roberta-base-uncased-bionlp2004 | tner | xlm-roberta | 18 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 433 |
10,979 | tner/xlm-roberta-base-uncased-conll2003 | tner | xlm-roberta | 18 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 430 |
10,980 | tner/xlm-roberta-base-uncased-fin | tner | xlm-roberta | 18 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 418 |
10,981 | tner/xlm-roberta-base-uncased-mit-movie-trivia | tner | xlm-roberta | 18 | 13 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 444 |
10,982 | tner/xlm-roberta-base-uncased-mit-restaurant | tner | xlm-roberta | 18 | 18 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 440 |
10,983 | asahi417/tner-xlm-roberta-base-uncased-ontonotes5 | asahi417 | xlm-roberta | 18 | 531 | transformers | 1 | token-classification | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 432 |
10,984 | tner/xlm-roberta-base-uncased-panx-dataset-en | tner | xlm-roberta | 18 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 441 |
10,985 | tner/xlm-roberta-base-uncased-wnut2017 | tner | xlm-roberta | 18 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 428 |
10,986 | tner/xlm-roberta-base-wnut2017 | tner | xlm-roberta | 16 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 411 |
10,987 | asahi417/tner-xlm-roberta-large-all-english | asahi417 | xlm-roberta | 22 | 6,060 | transformers | 1 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 420 |
10,988 | asahi417/tner-xlm-roberta-large-bc5cdr | asahi417 | xlm-roberta | 16 | 12 | transformers | 1 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 409 |
10,989 | tner/xlm-roberta-large-bionlp2004 | tner | xlm-roberta | 16 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 418 |
10,990 | tner/xlm-roberta-large-conll2003 | tner | xlm-roberta | 16 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 415 |
10,991 | tner/xlm-roberta-large-fin | tner | xlm-roberta | 16 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 404 |
10,992 | asahi417/tner-xlm-roberta-large-multiconer-mix-adapter | asahi417 | xlm-roberta | 9 | 2 | adapter-transformers | 0 | null | false | false | false | null | null | ['multiconer'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['xlm-roberta', 'dataset:multiconer', 'adapter-transformers', 'adapterhub:named-entity-recognition/multiconer'] | false | true | true | 1,211 |
10,993 | asahi417/tner-xlm-roberta-large-multiconer-mix | asahi417 | xlm-roberta | 11 | 17 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
10,994 | asahi417/tner-xlm-roberta-large-multiconer-multi-adapter | asahi417 | xlm-roberta | 9 | 2 | adapter-transformers | 0 | null | false | false | false | null | null | ['multiconer'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['xlm-roberta', 'dataset:multiconer', 'adapter-transformers', 'adapterhub:named-entity-recognition/multiconer'] | false | true | true | 1,215 |
10,995 | asahi417/tner-xlm-roberta-large-multiconer-multi | asahi417 | xlm-roberta | 10 | 15 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
10,996 | asahi417/tner-xlm-roberta-large-ontonotes5 | asahi417 | xlm-roberta | 16 | 307 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 419 |
10,997 | tner/xlm-roberta-large-panx-dataset-ar | tner | xlm-roberta | 20 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 428 |
10,998 | tner/xlm-roberta-large-panx-dataset-en | tner | xlm-roberta | 21 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 427 |
10,999 | tner/xlm-roberta-large-panx-dataset-es | tner | xlm-roberta | 14 | 8 | transformers | 0 | token-classification | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'xlm-roberta', 'token-classification', 'transformers', 'autotrain_compatible'] | false | false | true | 428 |
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