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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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