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1.63k
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5.05k
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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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Size of downloaded dataset files:
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Number of rows:
245,197