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0 | albert-base-v1 | null | albert | 9 | 34,634 | transformers | 2 | fill-mask | true | true | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'albert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1909.11942', 'transformers', 'exbert', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,789 |
1 | albert-base-v2 | null | albert | 11 | 4,080,716 | transformers | 55 | fill-mask | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 4 | 1 | 3 | 0 | 1 | 0 | 1 | ['pytorch', 'tf', 'jax', 'rust', 'safetensors', 'albert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1909.11942', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,643 |
2 | albert-large-v1 | null | albert | 9 | 453 | transformers | 0 | fill-mask | true | true | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'albert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1909.11942', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,681 |
3 | albert-large-v2 | null | albert | 9 | 8,914 | transformers | 11 | fill-mask | true | true | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'albert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1909.11942', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,682 |
4 | albert-xlarge-v1 | null | albert | 8 | 312 | transformers | 0 | fill-mask | true | true | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'albert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1909.11942', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,689 |
5 | albert-xlarge-v2 | null | albert | 8 | 3,337 | transformers | 3 | fill-mask | true | true | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'albert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1909.11942', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,690 |
6 | albert-xxlarge-v1 | null | albert | 8 | 4,112 | transformers | 2 | fill-mask | true | true | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 1 | 0 | 0 | 1 | 1 | 0 | ['pytorch', 'tf', 'albert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1909.11942', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,698 |
7 | albert-xxlarge-v2 | null | albert | 9 | 66,399 | transformers | 10 | fill-mask | true | true | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'albert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1909.11942', 'transformers', 'exbert', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,849 |
8 | bert-base-cased-finetuned-mrpc | null | bert | 8 | 9,166 | transformers | 0 | fill-mask | true | true | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible', 'has_space'] | false | false | false | 0 |
9 | bert-base-cased | null | bert | 10 | 5,460,024 | transformers | 117 | fill-mask | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 3 | 0 | 1 | 2 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'exbert', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 8,891 |
10 | bert-base-chinese | null | bert | 10 | 2,004,904 | transformers | 434 | fill-mask | true | true | true | null | ['zh'] | null | null | 6 | 2 | 3 | 1 | 5 | 2 | 3 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'zh', 'arxiv:1810.04805', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 1,825 |
11 | bert-base-german-cased | null | bert | 10 | 45,120 | transformers | 34 | fill-mask | true | true | true | mit | ['de'] | null | null | 3 | 1 | 1 | 1 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'de', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible', 'has_space'] | false | true | true | 4,053 |
12 | bert-base-german-dbmdz-cased | null | bert | 8 | 1,548 | transformers | 0 | fill-mask | true | false | true | mit | ['de'] | null | null | 2 | 1 | 1 | 0 | 1 | 1 | 0 | ['pytorch', 'jax', 'bert', 'fill-mask', 'de', 'transformers', 'license:mit', 'autotrain_compatible', 'has_space'] | false | true | true | 240 |
13 | bert-base-german-dbmdz-uncased | null | bert | 9 | 57,121 | transformers | 2 | fill-mask | true | false | true | mit | ['de'] | null | null | 2 | 0 | 2 | 0 | 1 | 1 | 0 | ['pytorch', 'jax', 'safetensors', 'bert', 'fill-mask', 'de', 'transformers', 'license:mit', 'autotrain_compatible', 'has_space'] | false | true | true | 247 |
14 | bert-base-multilingual-cased | null | bert | 10 | 2,826,492 | transformers | 185 | fill-mask | true | true | true | apache-2.0 | ['multilingual', 'af', 'sq', 'ar', 'an', 'hy', 'ast', 'az', 'ba', 'eu', 'bar', 'be', 'bn', 'inc', 'bs', 'br', 'bg', 'my', 'ca', 'ceb', 'ce', 'zh', 'cv', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fi', 'fr', 'gl', 'ka', 'de', 'el', 'gu', 'ht', 'he', 'hi', 'hu', 'is', 'io', 'id', 'ga', 'it', 'ja', 'jv', 'kn', 'kk', 'ky', 'ko', 'la', 'lv', 'lt', 'roa', 'nds', 'lm', 'mk', 'mg', 'ms', 'ml', 'mr', 'mn', 'min', 'ne', 'new', 'nb', 'nn', 'oc', 'fa', 'pms', 'pl', 'pt', 'pa', 'ro', 'ru', 'sco', 'sr', 'hr', 'scn', 'sk', 'sl', 'aze', 'es', 'su', 'sw', 'sv', 'tl', 'tg', 'th', 'ta', 'tt', 'te', 'tr', 'uk', 'ud', 'uz', 'vi', 'vo', 'war', 'cy', 'fry', 'pnb', 'yo'] | ['wikipedia'] | null | 3 | 1 | 2 | 0 | 1 | 1 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'multilingual', 'af', 'sq', 'ar', 'an', 'hy', 'ast', 'az', 'ba', 'eu', 'bar', 'be', 'bn', 'inc', 'bs', 'br', 'bg', 'my', 'ca', 'ceb', 'ce', 'zh', 'cv', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fi', 'fr', 'gl', 'ka', 'de', 'el', 'gu', 'ht', 'he', 'hi', 'hu', 'is', 'io', 'id', 'ga', 'it', 'ja', 'jv', 'kn', 'kk', 'ky', 'ko', 'la', 'lv', 'lt', 'roa', 'nds', 'lm', 'mk', 'mg', 'ms', 'ml', 'mr', 'mn', 'min', 'ne', 'new', 'nb', 'nn', 'oc', 'fa', 'pms', 'pl', 'pt', 'pa', 'ro', 'ru', 'sco', 'sr', 'scn', 'sk', 'sl', 'aze', 'es', 'su', 'sw', 'sv', 'tl', 'tg', 'th', 'ta', 'tt', 'te', 'tr', 'uk', 'ud', 'uz', 'vi', 'vo', 'war', 'cy', 'fry', 'pnb', 'yo', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 6,498 |
15 | bert-base-multilingual-uncased | null | bert | 10 | 419,235 | transformers | 42 | fill-mask | true | true | true | apache-2.0 | ['multilingual', 'af', 'sq', 'ar', 'an', 'hy', 'ast', 'az', 'ba', 'eu', 'bar', 'be', 'bn', 'inc', 'bs', 'br', 'bg', 'my', 'ca', 'ceb', 'ce', 'zh', 'cv', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fi', 'fr', 'gl', 'ka', 'de', 'el', 'gu', 'ht', 'he', 'hi', 'hu', 'is', 'io', 'id', 'ga', 'it', 'ja', 'jv', 'kn', 'kk', 'ky', 'ko', 'la', 'lv', 'lt', 'roa', 'nds', 'lm', 'mk', 'mg', 'ms', 'ml', 'mr', 'min', 'ne', 'new', 'nb', 'nn', 'oc', 'fa', 'pms', 'pl', 'pt', 'pa', 'ro', 'ru', 'sco', 'sr', 'hr', 'scn', 'sk', 'sl', 'aze', 'es', 'su', 'sw', 'sv', 'tl', 'tg', 'ta', 'tt', 'te', 'tr', 'uk', 'ud', 'uz', 'vi', 'vo', 'war', 'cy', 'fry', 'pnb', 'yo'] | ['wikipedia'] | null | 3 | 1 | 2 | 0 | 1 | 1 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'multilingual', 'af', 'sq', 'ar', 'an', 'hy', 'ast', 'az', 'ba', 'eu', 'bar', 'be', 'bn', 'inc', 'bs', 'br', 'bg', 'my', 'ca', 'ceb', 'ce', 'zh', 'cv', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fi', 'fr', 'gl', 'ka', 'de', 'el', 'gu', 'ht', 'he', 'hi', 'hu', 'is', 'io', 'id', 'ga', 'it', 'ja', 'jv', 'kn', 'kk', 'ky', 'ko', 'la', 'lv', 'lt', 'roa', 'nds', 'lm', 'mk', 'mg', 'ms', 'ml', 'mr', 'min', 'ne', 'new', 'nb', 'nn', 'oc', 'fa', 'pms', 'pl', 'pt', 'pa', 'ro', 'ru', 'sco', 'sr', 'scn', 'sk', 'sl', 'aze', 'es', 'su', 'sw', 'sv', 'tl', 'tg', 'ta', 'tt', 'te', 'tr', 'uk', 'ud', 'uz', 'vi', 'vo', 'war', 'cy', 'fry', 'pnb', 'yo', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 8,334 |
16 | bert-base-uncased | null | bert | 16 | 39,007,734 | transformers | 942 | fill-mask | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 22 | 2 | 7 | 13 | 17 | 11 | 6 | ['pytorch', 'tf', 'jax', 'rust', 'coreml', 'onnx', 'safetensors', 'bert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'exbert', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 10,426 |
17 | bert-large-cased-whole-word-masking-finetuned-squad | null | bert | 12 | 60,566 | transformers | 0 | question-answering | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'rust', 'safetensors', 'bert', 'question-answering', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 6,043 |
18 | bert-large-cased-whole-word-masking | null | bert | 9 | 3,687 | transformers | 3 | fill-mask | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,603 |
19 | bert-large-cased | null | bert | 11 | 63,830 | transformers | 9 | fill-mask | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,138 |
20 | bert-large-uncased-whole-word-masking-finetuned-squad | null | bert | 11 | 210,606 | transformers | 90 | question-answering | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 1 | 1 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'question-answering', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 6,164 |
21 | bert-large-uncased-whole-word-masking | null | bert | 10 | 31,290 | transformers | 9 | fill-mask | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 1 | 1 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,687 |
22 | bert-large-uncased | null | bert | 11 | 6,186,785 | transformers | 35 | fill-mask | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'bert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1810.04805', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 8,885 |
23 | camembert-base | null | camembert | 8 | 1,374,969 | transformers | 40 | fill-mask | true | true | false | mit | ['fr'] | ['oscar'] | null | 5 | 0 | 5 | 0 | 1 | 1 | 0 | ['pytorch', 'tf', 'safetensors', 'camembert', 'fill-mask', 'fr', 'dataset:oscar', 'arxiv:1911.03894', 'transformers', 'license:mit', 'autotrain_compatible', 'has_space'] | false | true | true | 6,917 |
24 | ctrl | null | ctrl | 7 | 15,100 | transformers | 1 | null | true | true | false | bsd-3-clause | ['en'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'ctrl', 'en', 'arxiv:1909.05858', 'arxiv:1910.09700', 'transformers', 'license:bsd-3-clause', 'has_space'] | false | true | true | 12,382 |
25 | distilbert-base-cased-distilled-squad | null | distilbert | 14 | 309,116 | transformers | 122 | question-answering | true | true | false | apache-2.0 | ['en'] | ['squad'] | null | 7 | 1 | 5 | 1 | 1 | 1 | 0 | ['pytorch', 'tf', 'rust', 'safetensors', 'openvino', 'distilbert', 'question-answering', 'en', 'dataset:squad', 'arxiv:1910.01108', 'arxiv:1910.09700', 'transformers', 'license:apache-2.0', 'model-index', 'autotrain_compatible', 'has_space'] | true | true | true | 8,504 |
26 | distilbert-base-cased | null | distilbert | 9 | 478,303 | transformers | 19 | null | true | true | false | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 4 | 1 | 3 | 0 | 1 | 1 | 0 | ['pytorch', 'tf', 'onnx', 'distilbert', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1910.01108', 'transformers', 'license:apache-2.0', 'has_space'] | false | true | true | 8,735 |
27 | distilbert-base-german-cased | null | distilbert | 9 | 25,989 | transformers | 9 | fill-mask | true | false | false | apache-2.0 | ['de'] | null | null | 2 | 0 | 2 | 0 | 1 | 1 | 0 | ['pytorch', 'safetensors', 'distilbert', 'fill-mask', 'de', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 32 |
28 | distilbert-base-multilingual-cased | null | distilbert | 10 | 9,479,584 | transformers | 62 | fill-mask | true | true | false | apache-2.0 | ['multilingual', 'af', 'sq', 'ar', 'an', 'hy', 'ast', 'az', 'ba', 'eu', 'bar', 'be', 'bn', 'inc', 'bs', 'br', 'bg', 'my', 'ca', 'ceb', 'ce', 'zh', 'cv', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fi', 'fr', 'gl', 'ka', 'de', 'el', 'gu', 'ht', 'he', 'hi', 'hu', 'is', 'io', 'id', 'ga', 'it', 'ja', 'jv', 'kn', 'kk', 'ky', 'ko', 'la', 'lv', 'lt', 'roa', 'nds', 'lm', 'mk', 'mg', 'ms', 'ml', 'mr', 'mn', 'min', 'ne', 'new', 'nb', 'nn', 'oc', 'fa', 'pms', 'pl', 'pt', 'pa', 'ro', 'ru', 'sco', 'sr', 'hr', 'scn', 'sk', 'sl', 'aze', 'es', 'su', 'sw', 'sv', 'tl', 'tg', 'th', 'ta', 'tt', 'te', 'tr', 'uk', 'ud', 'uz', 'vi', 'vo', 'war', 'cy', 'fry', 'pnb', 'yo'] | ['wikipedia'] | null | 4 | 0 | 4 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'onnx', 'safetensors', 'distilbert', 'fill-mask', 'multilingual', 'af', 'sq', 'ar', 'an', 'hy', 'ast', 'az', 'ba', 'eu', 'bar', 'be', 'bn', 'inc', 'bs', 'br', 'bg', 'my', 'ca', 'ceb', 'ce', 'zh', 'cv', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fi', 'fr', 'gl', 'ka', 'de', 'el', 'gu', 'ht', 'he', 'hi', 'hu', 'is', 'io', 'id', 'ga', 'it', 'ja', 'jv', 'kn', 'kk', 'ky', 'ko', 'la', 'lv', 'lt', 'roa', 'nds', 'lm', 'mk', 'mg', 'ms', 'ml', 'mr', 'mn', 'min', 'ne', 'new', 'nb', 'nn', 'oc', 'fa', 'pms', 'pl', 'pt', 'pa', 'ro', 'ru', 'sco', 'sr', 'scn', 'sk', 'sl', 'aze', 'es', 'su', 'sw', 'sv', 'tl', 'tg', 'th', 'ta', 'tt', 'te', 'tr', 'uk', 'ud', 'uz', 'vi', 'vo', 'war', 'cy', 'fry', 'pnb', 'yo', 'dataset:wikipedia', 'arxiv:1910.01108', 'arxiv:1910.09700', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 6,710 |
29 | distilbert-base-uncased-distilled-squad | null | distilbert | 15 | 84,771 | transformers | 41 | question-answering | true | true | false | apache-2.0 | ['en'] | ['squad'] | null | 4 | 0 | 4 | 0 | 2 | 2 | 0 | ['pytorch', 'tf', 'tflite', 'coreml', 'safetensors', 'distilbert', 'question-answering', 'en', 'dataset:squad', 'arxiv:1910.01108', 'arxiv:1910.09700', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 8,586 |
30 | distilbert-base-uncased-finetuned-sst-2-english | null | distilbert | 10 | 2,516,298 | transformers | 253 | text-classification | true | true | false | apache-2.0 | ['en'] | ['sst2', 'glue'] | null | 13 | 0 | 8 | 5 | 9 | 9 | 0 | ['pytorch', 'tf', 'rust', 'safetensors', 'distilbert', 'text-classification', 'en', 'dataset:sst2', 'dataset:glue', 'arxiv:1910.01108', 'doi:10.57967/hf/0181', 'transformers', 'license:apache-2.0', 'model-index', 'has_space'] | true | true | true | 3,942 |
31 | distilbert-base-uncased | null | distilbert | 12 | 10,958,547 | transformers | 221 | fill-mask | true | true | true | apache-2.0 | ['en'] | ['bookcorpus', 'wikipedia'] | null | 4 | 1 | 3 | 0 | 3 | 3 | 0 | ['pytorch', 'tf', 'jax', 'rust', 'safetensors', 'distilbert', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1910.01108', 'transformers', 'exbert', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 8,470 |
32 | distilgpt2 | null | gpt2 | 18 | 1,089,387 | transformers | 223 | text-generation | true | true | true | apache-2.0 | ['en'] | ['openwebtext'] | 149200 | 8 | 0 | 6 | 2 | 2 | 2 | 0 | ['pytorch', 'tf', 'jax', 'tflite', 'rust', 'coreml', 'safetensors', 'gpt2', 'text-generation', 'en', 'dataset:openwebtext', 'arxiv:1910.01108', 'arxiv:2201.08542', 'arxiv:2203.12574', 'arxiv:1910.09700', 'arxiv:1503.02531', 'transformers', 'exbert', 'license:apache-2.0', 'model-index', 'co2_eq_emissions', 'has_space'] | true | true | true | 10,594 |
33 | distilroberta-base | null | roberta | 12 | 2,274,309 | transformers | 73 | fill-mask | true | true | true | apache-2.0 | ['en'] | ['openwebtext'] | null | 3 | 1 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'rust', 'safetensors', 'roberta', 'fill-mask', 'en', 'dataset:openwebtext', 'arxiv:1910.01108', 'arxiv:1910.09700', 'transformers', 'exbert', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 7,417 |
34 | gpt2-large | null | gpt2 | 28 | 316,201 | transformers | 130 | text-generation | true | true | true | mit | ['en'] | null | null | 5 | 0 | 3 | 2 | 1 | 1 | 0 | ['pytorch', 'tf', 'jax', 'rust', 'onnx', 'safetensors', 'gpt2', 'text-generation', 'en', 'arxiv:1910.09700', 'transformers', 'license:mit', 'has_space'] | false | true | true | 12,312 |
35 | gpt2-medium | null | gpt2 | 23 | 276,532 | transformers | 59 | text-generation | true | true | true | mit | ['en'] | null | null | 8 | 1 | 4 | 3 | 1 | 0 | 1 | ['pytorch', 'tf', 'jax', 'rust', 'onnx', 'safetensors', 'gpt2', 'text-generation', 'en', 'arxiv:1910.09700', 'transformers', 'license:mit', 'has_space'] | false | true | true | 11,854 |
36 | gpt2-xl | null | gpt2 | 12 | 260,140 | transformers | 153 | text-generation | true | true | true | mit | ['en'] | null | null | 5 | 2 | 1 | 2 | 0 | 0 | 0 | ['pytorch', 'tf', 'jax', 'rust', 'gpt2', 'text-generation', 'en', 'arxiv:1910.09700', 'transformers', 'license:mit', 'has_space'] | false | true | true | 11,933 |
37 | gpt2 | null | gpt2 | 25 | 14,532,905 | transformers | 1,209 | text-generation | true | true | true | mit | ['en'] | null | null | 34 | 9 | 5 | 20 | 22 | 15 | 7 | ['pytorch', 'tf', 'jax', 'tflite', 'rust', 'onnx', 'safetensors', 'gpt2', 'text-generation', 'en', 'doi:10.57967/hf/0039', 'transformers', 'exbert', 'license:mit', 'has_space'] | false | true | true | 8,040 |
38 | openai-gpt | null | openai-gpt | 12 | 114,885 | transformers | 150 | text-generation | true | true | false | mit | ['en'] | null | null | 2 | 0 | 2 | 0 | 2 | 2 | 0 | ['pytorch', 'tf', 'rust', 'safetensors', 'openai-gpt', 'text-generation', 'en', 'arxiv:1705.11168', 'arxiv:1803.02324', 'arxiv:1910.09700', 'transformers', 'license:mit', 'has_space'] | false | true | true | 14,043 |
39 | roberta-base-openai-detector | null | roberta | 10 | 147,737 | transformers | 76 | text-classification | true | true | true | mit | ['en'] | ['bookcorpus', 'wikipedia'] | null | 7 | 0 | 6 | 1 | 6 | 5 | 1 | ['pytorch', 'tf', 'jax', 'safetensors', 'roberta', 'text-classification', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1904.09751', 'arxiv:1910.09700', 'transformers', 'exbert', 'license:mit', 'has_space'] | false | true | true | 9,620 |
40 | roberta-base | null | roberta | 12 | 9,661,075 | transformers | 181 | fill-mask | true | true | true | mit | ['en'] | ['bookcorpus', 'wikipedia'] | null | 4 | 1 | 2 | 1 | 4 | 3 | 1 | ['pytorch', 'tf', 'jax', 'rust', 'safetensors', 'roberta', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1907.11692', 'arxiv:1806.02847', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible', 'has_space'] | false | true | true | 8,980 |
41 | roberta-large-mnli | null | roberta | 10 | 131,659 | transformers | 71 | text-classification | true | true | true | mit | ['en'] | ['multi_nli', 'wikipedia', 'bookcorpus'] | null | 3 | 1 | 2 | 0 | 1 | 1 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 'roberta', 'text-classification', 'en', 'dataset:multi_nli', 'dataset:wikipedia', 'dataset:bookcorpus', 'arxiv:1907.11692', 'arxiv:1806.02847', 'arxiv:1804.07461', 'arxiv:1704.05426', 'arxiv:1508.05326', 'arxiv:1809.05053', 'arxiv:1910.09700', 'transformers', 'autogenerated-modelcard', 'license:mit', 'has_space'] | false | true | true | 10,597 |
42 | roberta-large-openai-detector | null | roberta | 8 | 10,389 | transformers | 6 | text-classification | true | false | true | mit | ['en'] | ['bookcorpus', 'wikipedia'] | null | 3 | 2 | 1 | 0 | 1 | 1 | 0 | ['pytorch', 'jax', 'roberta', 'text-classification', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1904.09751', 'arxiv:1910.09700', 'transformers', 'exbert', 'license:mit', 'has_space'] | false | true | true | 9,097 |
43 | roberta-large | null | roberta | 11 | 3,340,350 | transformers | 113 | fill-mask | true | true | true | mit | ['en'] | ['bookcorpus', 'wikipedia'] | null | 2 | 0 | 2 | 0 | 1 | 0 | 1 | ['pytorch', 'tf', 'jax', 'onnx', 'safetensors', 'roberta', 'fill-mask', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1907.11692', 'arxiv:1806.02847', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible', 'has_space'] | false | true | true | 9,187 |
44 | t5-11b | null | t5 | 7 | 18,497 | transformers | 33 | translation | true | true | false | apache-2.0 | ['en', 'fr', 'ro', 'de', 'multilingual'] | ['c4'] | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 't5', 'text2text-generation', 'en', 'fr', 'ro', 'de', 'multilingual', 'dataset:c4', 'arxiv:1805.12471', 'arxiv:1708.00055', 'arxiv:1704.05426', 'arxiv:1606.05250', 'arxiv:1808.09121', 'arxiv:1810.12885', 'arxiv:1905.10044', 'arxiv:1910.09700', 'transformers', 'summarization', 'translation', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 8,462 |
45 | t5-3b | null | t5 | 7 | 30,998 | transformers | 17 | translation | true | true | false | apache-2.0 | ['en', 'fr', 'ro', 'de', 'multilingual'] | ['c4'] | null | 3 | 1 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 't5', 'text2text-generation', 'en', 'fr', 'ro', 'de', 'multilingual', 'dataset:c4', 'arxiv:1805.12471', 'arxiv:1708.00055', 'arxiv:1704.05426', 'arxiv:1606.05250', 'arxiv:1808.09121', 'arxiv:1810.12885', 'arxiv:1905.10044', 'arxiv:1910.09700', 'transformers', 'summarization', 'translation', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 7,740 |
46 | t5-base | null | t5 | 11 | 2,273,023 | transformers | 274 | translation | true | true | true | apache-2.0 | ['en', 'fr', 'ro', 'de'] | ['c4'] | null | 10 | 6 | 3 | 1 | 3 | 3 | 0 | ['pytorch', 'tf', 'jax', 'rust', 'safetensors', 't5', 'text2text-generation', 'en', 'fr', 'ro', 'de', 'dataset:c4', 'arxiv:1805.12471', 'arxiv:1708.00055', 'arxiv:1704.05426', 'arxiv:1606.05250', 'arxiv:1808.09121', 'arxiv:1810.12885', 'arxiv:1905.10044', 'arxiv:1910.09700', 'transformers', 'summarization', 'translation', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 8,343 |
47 | t5-large | null | t5 | 10 | 218,283 | transformers | 74 | translation | true | true | true | apache-2.0 | ['en', 'fr', 'ro', 'de', 'multilingual'] | ['c4'] | null | 8 | 4 | 4 | 0 | 2 | 2 | 0 | ['pytorch', 'tf', 'jax', 'safetensors', 't5', 'text2text-generation', 'en', 'fr', 'ro', 'de', 'multilingual', 'dataset:c4', 'arxiv:1805.12471', 'arxiv:1708.00055', 'arxiv:1704.05426', 'arxiv:1606.05250', 'arxiv:1808.09121', 'arxiv:1810.12885', 'arxiv:1905.10044', 'arxiv:1910.09700', 'transformers', 'summarization', 'translation', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 8,348 |
48 | t5-small | null | t5 | 20 | 1,203,237 | transformers | 121 | translation | true | true | true | apache-2.0 | ['en', 'fr', 'ro', 'de', 'multilingual'] | ['c4'] | null | 12 | 2 | 8 | 2 | 3 | 3 | 0 | ['pytorch', 'tf', 'jax', 'rust', 'onnx', 'safetensors', 't5', 'text2text-generation', 'en', 'fr', 'ro', 'de', 'multilingual', 'dataset:c4', 'arxiv:1805.12471', 'arxiv:1708.00055', 'arxiv:1704.05426', 'arxiv:1606.05250', 'arxiv:1808.09121', 'arxiv:1810.12885', 'arxiv:1905.10044', 'arxiv:1910.09700', 'transformers', 'summarization', 'translation', 'license:apache-2.0', 'autotrain_compatible', 'has_space'] | false | true | true | 8,348 |
49 | transfo-xl-wt103 | null | transfo-xl | 11 | 11,878 | transformers | 4 | text-generation | true | true | false | null | ['en'] | ['wikitext-103'] | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'transfo-xl', 'text-generation', 'en', 'dataset:wikitext-103', 'arxiv:1901.02860', 'transformers', 'has_space'] | true | true | true | 5,254 |
50 | xlm-clm-ende-1024 | null | xlm | 10 | 23,767 | transformers | 0 | fill-mask | true | true | false | null | ['multilingual', 'en', 'de'] | null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'safetensors', 'xlm', 'fill-mask', 'multilingual', 'en', 'de', 'arxiv:1901.07291', 'arxiv:1910.09700', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 4,934 |
51 | xlm-clm-enfr-1024 | null | xlm | 9 | 175 | transformers | 0 | fill-mask | true | true | false | null | ['multilingual', 'en', 'fr'] | null | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm', 'fill-mask', 'multilingual', 'en', 'fr', 'arxiv:1901.07291', 'arxiv:1910.09700', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 4,958 |
52 | xlm-mlm-100-1280 | null | xlm | 9 | 7,273 | transformers | 1 | fill-mask | true | true | false | cc-by-nc-4.0 | ['multilingual', 'en', 'es', 'fr', 'de', 'zh', 'ru', 'pt', 'it', 'ar', 'ja', 'id', 'tr', 'nl', 'pl', 'fa', 'vi', 'sv', 'ko', 'he', 'ro', False, 'hi', 'uk', 'cs', 'fi', 'hu', 'th', 'da', 'ca', 'el', 'bg', 'sr', 'ms', 'bn', 'hr', 'sl', 'az', 'sk', 'eo', 'ta', 'sh', 'lt', 'et', 'ml', 'la', 'bs', 'sq', 'arz', 'af', 'ka', 'mr', 'eu', 'tl', 'ang', 'gl', 'nn', 'ur', 'kk', 'be', 'hy', 'te', 'lv', 'mk', 'als', 'is', 'wuu', 'my', 'sco', 'mn', 'ceb', 'ast', 'cy', 'kn', 'br', 'an', 'gu', 'bar', 'uz', 'lb', 'ne', 'si', 'war', 'jv', 'ga', 'oc', 'ku', 'sw', 'nds', 'ckb', 'ia', 'yi', 'fy', 'scn', 'gan', 'tt', 'am'] | null | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm', 'fill-mask', 'multilingual', 'en', 'es', 'fr', 'de', 'zh', 'ru', 'pt', 'it', 'ar', 'ja', 'id', 'tr', 'nl', 'pl', 'fa', 'vi', 'sv', 'ko', 'he', 'ro', 'no', 'hi', 'uk', 'cs', 'fi', 'hu', 'th', 'da', 'ca', 'el', 'bg', 'sr', 'ms', 'bn', 'hr', 'sl', 'az', 'sk', 'eo', 'ta', 'sh', 'lt', 'et', 'ml', 'la', 'bs', 'sq', 'arz', 'af', 'ka', 'mr', 'eu', 'tl', 'ang', 'gl', 'nn', 'ur', 'kk', 'be', 'hy', 'te', 'lv', 'mk', 'als', 'is', 'wuu', 'my', 'sco', 'mn', 'ceb', 'ast', 'cy', 'kn', 'br', 'an', 'gu', 'bar', 'uz', 'lb', 'ne', 'si', 'war', 'jv', 'ga', 'oc', 'ku', 'sw', 'nds', 'ckb', 'ia', 'yi', 'fy', 'scn', 'gan', 'tt', 'am', 'arxiv:1901.07291', 'arxiv:1911.02116', 'arxiv:1910.09700', 'transformers', 'license:cc-by-nc-4.0', 'autotrain_compatible', 'has_space'] | false | true | true | 5,524 |
53 | xlm-mlm-17-1280 | null | xlm | 9 | 1,011 | transformers | 2 | fill-mask | true | true | false | cc-by-nc-4.0 | ['multilingual', 'en', 'fr', 'es', 'de', 'it', 'pt', 'nl', 'sv', 'pl', 'ru', 'ar', 'tr', 'zh', 'ja', 'ko', 'hi', 'vi'] | null | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm', 'fill-mask', 'multilingual', 'en', 'fr', 'es', 'de', 'it', 'pt', 'nl', 'sv', 'pl', 'ru', 'ar', 'tr', 'zh', 'ja', 'ko', 'hi', 'vi', 'arxiv:1901.07291', 'arxiv:1911.02116', 'arxiv:1910.09700', 'transformers', 'license:cc-by-nc-4.0', 'autotrain_compatible', 'has_space'] | false | true | true | 5,468 |
54 | xlm-mlm-en-2048 | null | xlm | 9 | 6,397 | transformers | 0 | fill-mask | true | true | false | cc-by-nc-4.0 | ['en'] | null | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm', 'fill-mask', 'en', 'arxiv:1901.07291', 'arxiv:1911.02116', 'arxiv:1910.09700', 'transformers', 'exbert', 'license:cc-by-nc-4.0', 'autotrain_compatible', 'has_space'] | false | true | true | 4,551 |
55 | xlm-mlm-ende-1024 | null | xlm | 9 | 83 | transformers | 1 | fill-mask | true | true | false | cc-by-nc-4.0 | ['multilingual', 'en', 'de'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm', 'fill-mask', 'multilingual', 'en', 'de', 'arxiv:1901.07291', 'arxiv:1910.09700', 'transformers', 'license:cc-by-nc-4.0', 'autotrain_compatible', 'has_space'] | false | true | true | 5,709 |
56 | xlm-mlm-enfr-1024 | null | xlm | 9 | 228 | transformers | 0 | fill-mask | true | true | false | cc-by-nc-4.0 | ['multilingual', 'en', 'fr'] | null | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm', 'fill-mask', 'multilingual', 'en', 'fr', 'arxiv:1901.07291', 'arxiv:1910.09700', 'transformers', 'license:cc-by-nc-4.0', 'autotrain_compatible', 'has_space'] | false | true | true | 5,709 |
57 | xlm-mlm-enro-1024 | null | xlm | 9 | 16 | transformers | 0 | fill-mask | true | true | false | cc-by-nc-4.0 | ['multilingual', 'en', 'ro'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm', 'fill-mask', 'multilingual', 'en', 'ro', 'arxiv:1901.07291', 'arxiv:1910.09700', 'transformers', 'license:cc-by-nc-4.0', 'autotrain_compatible', 'has_space'] | false | true | true | 5,715 |
58 | xlm-mlm-tlm-xnli15-1024 | null | xlm | 9 | 122 | transformers | 0 | fill-mask | true | true | false | cc-by-nc-4.0 | ['multilingual', 'en', 'fr', 'es', 'de', 'el', 'bg', 'ru', 'tr', 'ar', 'vi', 'th', 'zh', 'hi', 'sw', 'ur'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm', 'fill-mask', 'multilingual', 'en', 'fr', 'es', 'de', 'el', 'bg', 'ru', 'tr', 'ar', 'vi', 'th', 'zh', 'hi', 'sw', 'ur', 'arxiv:1901.07291', 'arxiv:1910.09700', 'transformers', 'license:cc-by-nc-4.0', 'autotrain_compatible', 'has_space'] | false | true | true | 9,794 |
59 | xlm-mlm-xnli15-1024 | null | xlm | 9 | 51 | transformers | 0 | fill-mask | true | true | false | cc-by-nc-4.0 | ['multilingual', 'en', 'fr', 'es', 'de', 'el', 'bg', 'ru', 'tr', 'ar', 'vi', 'th', 'zh', 'hi', 'sw', 'ur'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlm', 'fill-mask', 'multilingual', 'en', 'fr', 'es', 'de', 'el', 'bg', 'ru', 'tr', 'ar', 'vi', 'th', 'zh', 'hi', 'sw', 'ur', 'arxiv:1901.07291', 'arxiv:1910.09700', 'transformers', 'license:cc-by-nc-4.0', 'autotrain_compatible', 'has_space'] | false | true | true | 10,037 |
60 | xlm-roberta-base | null | xlm-roberta | 10 | 5,948,242 | transformers | 333 | fill-mask | true | true | true | mit | ['multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', False, 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh'] | null | null | 12 | 2 | 4 | 6 | 8 | 3 | 5 | ['pytorch', 'tf', 'jax', 'onnx', 'safetensors', 'xlm-roberta', 'fill-mask', 'multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh', 'arxiv:1911.02116', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible', 'has_space'] | false | true | true | 4,711 |
61 | xlm-roberta-large-finetuned-conll02-dutch | null | xlm-roberta | 7 | 229 | transformers | 1 | fill-mask | true | false | false | null | ['multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', False, 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'rust', 'xlm-roberta', 'fill-mask', 'multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh', 'arxiv:1911.02116', 'arxiv:1910.09700', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 5,855 |
62 | xlm-roberta-large-finetuned-conll02-spanish | null | xlm-roberta | 7 | 68 | transformers | 1 | fill-mask | true | false | false | null | ['multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', False, 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'rust', 'xlm-roberta', 'fill-mask', 'multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh', 'arxiv:1911.02116', 'arxiv:1910.09700', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 5,980 |
63 | xlm-roberta-large-finetuned-conll03-english | null | xlm-roberta | 7 | 78,781 | transformers | 61 | token-classification | true | false | false | null | ['multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', False, 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh'] | null | null | 4 | 3 | 1 | 0 | 3 | 2 | 1 | ['pytorch', 'rust', 'xlm-roberta', 'token-classification', 'multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh', 'arxiv:1911.02116', 'arxiv:2008.03415', 'arxiv:1910.09700', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 7,169 |
64 | xlm-roberta-large-finetuned-conll03-german | null | xlm-roberta | 7 | 2,464 | transformers | 2 | token-classification | true | false | false | null | ['multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', False, 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh'] | null | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'rust', 'xlm-roberta', 'token-classification', 'multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh', 'arxiv:1911.02116', 'arxiv:1910.09700', 'transformers', 'autotrain_compatible', 'has_space'] | false | true | true | 5,964 |
65 | xlm-roberta-large | null | xlm-roberta | 11 | 41,437,266 | transformers | 173 | fill-mask | true | true | true | mit | ['multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', False, 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh'] | null | null | 9 | 0 | 4 | 5 | 5 | 5 | 0 | ['pytorch', 'tf', 'jax', 'onnx', 'safetensors', 'xlm-roberta', 'fill-mask', 'multilingual', 'af', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'en', 'eo', 'es', 'et', 'eu', 'fa', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gu', 'ha', 'he', 'hi', 'hr', 'hu', 'hy', 'id', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'ro', 'ru', 'sa', 'sd', 'si', 'sk', 'sl', 'so', 'sq', 'sr', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'xh', 'yi', 'zh', 'arxiv:1911.02116', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible', 'has_space'] | false | true | true | 4,715 |
66 | xlnet-base-cased | null | xlnet | 10 | 146,729 | transformers | 40 | text-generation | true | true | false | mit | ['en'] | ['bookcorpus', 'wikipedia'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'rust', 'xlnet', 'text-generation', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1906.08237', 'transformers', 'license:mit', 'has_space'] | false | true | true | 2,627 |
67 | xlnet-large-cased | null | xlnet | 9 | 49,271 | transformers | 14 | text-generation | true | true | false | mit | ['en'] | ['bookcorpus', 'wikipedia'] | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tf', 'xlnet', 'text-generation', 'en', 'dataset:bookcorpus', 'dataset:wikipedia', 'arxiv:1906.08237', 'transformers', 'license:mit', 'has_space'] | false | true | true | 2,630 |
68 | 007J/smile | 007J | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
69 | 0307061430/xuangou | 0307061430 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
70 | 09panesara/distilbert-base-uncased-finetuned-cola | 09panesara | distilbert | 13 | 55 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['glue'] | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'text-classification', 'dataset:glue', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'model-index'] | true | true | true | 1,572 |
71 | 0x7194633/keyt5-base | 0x7194633 | t5 | 7 | 46 | transformers | 0 | text2text-generation | true | false | false | mit | ['ru'] | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'ru', 'transformers', 'license:mit', 'autotrain_compatible'] | false | true | true | 2,482 |
72 | 0x7194633/keyt5-large | 0x7194633 | t5 | 8 | 613 | transformers | 0 | text2text-generation | true | false | false | mit | ['ru'] | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | ['pytorch', 'safetensors', 't5', 'text2text-generation', 'ru', 'transformers', 'license:mit', 'autotrain_compatible'] | false | true | true | 2,475 |
73 | 0xDEADBEA7/DialoGPT-small-rick | 0xDEADBEA7 | gpt2 | 11 | 28 | transformers | 0 | conversational | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 30 |
74 | 123123/ghfk | 123123 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
75 | 123456/Arcanegan | 123456 | null | 2 | 0 | null | 1 | null | false | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
76 | 1234567/1234567 | 1234567 | null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
77 | 123abhiALFLKFO/albert-base-v2-finetuned-sst2 | 123abhiALFLKFO | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
78 | 123abhiALFLKFO/albert-base-v2-yelp-polarity-finetuned-sst2 | 123abhiALFLKFO | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
79 | 123abhiALFLKFO/distilbert-base-uncased-finetuned-cola | 123abhiALFLKFO | distilbert | 21 | 35 | transformers | 0 | text-classification | true | false | false | apache-2.0 | null | ['glue'] | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'distilbert', 'text-classification', 'dataset:glue', 'transformers', 'generated_from_trainer', 'license:apache-2.0'] | false | true | true | 1,570 |
80 | 123addfg/ar | 123addfg | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
81 | 123www/test_model | 123www | wav2vec2 | 10 | 22 | transformers | 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'wav2vec2', 'transformers'] | false | false | false | 0 |
82 | 13048909972/wav2vec2-common_voice-tr-demo | 13048909972 | wav2vec2 | 28 | 28 | transformers | 0 | automatic-speech-recognition | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'transformers'] | false | false | false | 0 |
83 | 13048909972/wav2vec2-large-xls-r-300m-tr-colab | 13048909972 | wav2vec2 | 12 | 24 | transformers | 0 | automatic-speech-recognition | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'transformers'] | false | false | false | 0 |
84 | 13048909972/wav2vec2-large-xlsr-53_common_voice_20211210112254 | 13048909972 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
85 | 13048909972/wav2vec2-large-xlsr-53_common_voice_20211211085606 | 13048909972 | wav2vec2 | 17 | 24 | transformers | 0 | automatic-speech-recognition | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'transformers'] | false | false | false | 0 |
86 | 13306330378/huiqi_model | 13306330378 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
87 | 13on/gpt2-wishes | 13on | gpt2 | 9 | 30 | transformers | 0 | text-generation | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers'] | false | false | false | 0 |
88 | 13on/kw2t-wishes | 13on | t5 | 7 | 26 | transformers | 0 | text2text-generation | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible'] | false | false | false | 0 |
89 | 13onn/gpt2-wishes-2 | 13onn | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
90 | 13onnn/gpt2-wish | 13onnn | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
91 | 1503277708/namo | 1503277708 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
92 | 1575/7447 | 1575 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
93 | 1712871/manual_vn_electra_small | 1712871 | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
94 | 1757968399/tinybert_4_312_1200 | 1757968399 | null | 4 | 22 | transformers | 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'transformers'] | false | false | false | 0 |
95 | 17luke/wav2vec2-large-xls-r-300m-icelandic-samromur | 17luke | null | 6 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
96 | 18811449050/bert_cn_finetuning | 18811449050 | bert | 9 | 34 | transformers | 0 | text-classification | true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'jax', 'bert', 'text-classification', 'transformers'] | false | false | false | 0 |
97 | 18811449050/bert_finetuning_test | 18811449050 | bert | 9 | 37 | transformers | 0 | text-classification | true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'jax', 'bert', 'text-classification', 'transformers'] | false | false | false | 0 |
98 | 1Basco/DialoGPT-small-jake | 1Basco | gpt2 | 11 | 33 | transformers | 0 | conversational | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational'] | false | true | true | 29 |
99 | 1n3skh/idk | 1n3skh | null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | [] | false | false | false | 0 |
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