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22,200 |
m3hrdadfi/albert-fa-base-v2-sentiment-multi
|
m3hrdadfi
|
albert
| 12 | 33 |
transformers
| 1 |
text-classification
| true | true | false |
apache-2.0
|
['fa']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'albert', 'text-classification', 'fa', 'transformers', 'license:apache-2.0']
| false | true | true | 1,897 |
22,201 |
m3hrdadfi/albert-fa-base-v2-sentiment-snappfood
|
m3hrdadfi
|
albert
| 12 | 19 |
transformers
| 0 |
text-classification
| true | true | false |
apache-2.0
|
['fa']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'albert', 'text-classification', 'fa', 'transformers', 'license:apache-2.0']
| false | true | true | 2,519 |
22,202 |
m3hrdadfi/albert-fa-base-v2
|
m3hrdadfi
|
albert
| 6 | 1,768 |
transformers
| 0 |
fill-mask
| true | false | false |
apache-2.0
|
['fa']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'fill-mask', 'fa', 'transformers', 'albert-persian', 'persian-lm', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 7,052 |
22,203 |
m3hrdadfi/albert-zwnj-wnli-mean-tokens
|
m3hrdadfi
|
albert
| 12 | 16 |
sentence-transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers']
| false | true | true | 2,265 |
22,204 |
m3hrdadfi/bert-fa-base-uncased-farstail-mean-tokens
|
m3hrdadfi
|
bert
| 9 | 99 |
transformers
| 0 |
feature-extraction
| true | false | true |
apache-2.0
|
['fa']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'feature-extraction', 'fa', 'transformers', 'license:apache-2.0']
| false | true | true | 597 |
22,205 |
m3hrdadfi/bert-fa-base-uncased-farstail
|
m3hrdadfi
|
bert
| 8 | 50 |
transformers
| 0 |
text-classification
| true | false | true |
apache-2.0
|
['fa']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'text-classification', 'fa', 'transformers', 'license:apache-2.0']
| false | true | true | 597 |
22,206 |
m3hrdadfi/bert-fa-base-uncased-wikinli-mean-tokens
|
m3hrdadfi
|
bert
| 9 | 1,343 |
transformers
| 0 |
feature-extraction
| true | false | true |
apache-2.0
|
['fa']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'feature-extraction', 'fa', 'transformers', 'license:apache-2.0']
| false | true | true | 467 |
22,207 |
m3hrdadfi/bert-fa-base-uncased-wikinli
|
m3hrdadfi
|
bert
| 8 | 21 |
transformers
| 2 |
text-classification
| true | false | true |
apache-2.0
|
['fa']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'text-classification', 'fa', 'transformers', 'license:apache-2.0']
| false | true | true | 467 |
22,208 |
m3hrdadfi/bert-fa-base-uncased-wikitriplet-mean-tokens
|
m3hrdadfi
|
bert
| 9 | 163 |
transformers
| 1 |
feature-extraction
| true | false | true |
apache-2.0
|
['fa']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'feature-extraction', 'fa', 'transformers', 'license:apache-2.0']
| false | true | true | 467 |
22,209 |
m3hrdadfi/bert-zwnj-wnli-mean-tokens
|
m3hrdadfi
|
bert
| 12 | 35 |
sentence-transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers']
| false | true | true | 2,228 |
22,210 |
m3hrdadfi/bert2bert-fa-news-headline
|
m3hrdadfi
|
encoder-decoder
| 5 | 38 |
transformers
| 0 |
summarization
| true | false | false |
apache-2.0
|
['fa']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'fa', 'transformers', 'summarization', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 745 |
22,211 |
m3hrdadfi/bert2bert-fa-wiki-summary
|
m3hrdadfi
|
encoder-decoder
| 7 | 55 |
transformers
| 0 |
summarization
| true | false | false |
apache-2.0
|
['fa']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'fa', 'transformers', 'summarization', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 649 |
22,212 |
m3hrdadfi/distilbert-zwnj-wnli-mean-tokens
|
m3hrdadfi
|
distilbert
| 12 | 292,383 |
sentence-transformers
| 0 |
sentence-similarity
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers']
| false | true | true | 2,252 |
22,213 |
m3hrdadfi/gpt2-QA
|
m3hrdadfi
|
gpt2
| 10 | 96 |
transformers
| 0 |
text-generation
| true | true | false | null |
['en']
|
['squad']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'gpt2', 'text-generation', 'en', 'dataset:squad', 'transformers', 'has_space']
| false | true | true | 415 |
22,214 |
m3hrdadfi/gpt2-persian-qa
|
m3hrdadfi
|
gpt2
| 12 | 138 |
transformers
| 3 |
text-generation
| true | true | false | null |
['fa']
|
['persian_qa', 'parsinlu_reading_comprehension']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'gpt2', 'text-generation', 'fa', 'dataset:persian_qa', 'dataset:parsinlu_reading_comprehension', 'transformers', 'has_space']
| false | true | true | 779 |
22,215 |
m3hrdadfi/hubert-base-greek-speech-emotion-recognition
|
m3hrdadfi
|
hubert
| 7 | 80 |
transformers
| 0 | null | true | false | false |
apache-2.0
|
['el']
|
['aesdd']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'hubert', 'el', 'dataset:aesdd', 'transformers', 'audio', 'speech', 'speech-emotion-recognition', 'license:apache-2.0']
| false | true | true | 2,892 |
22,216 |
m3hrdadfi/hubert-base-persian-speech-emotion-recognition
|
m3hrdadfi
|
hubert
| 7 | 118 |
transformers
| 0 | null | true | false | false |
apache-2.0
|
['fa']
|
['ShEMO']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'hubert', 'fa', 'dataset:ShEMO', 'transformers', 'audio', 'speech', 'speech-emotion-recognition', 'license:apache-2.0']
| false | true | true | 2,981 |
22,217 |
m3hrdadfi/hubert-base-persian-speech-gender-recognition
|
m3hrdadfi
|
hubert
| 7 | 16,864 |
transformers
| 4 | null | true | false | false |
apache-2.0
|
['fa']
|
['shemo']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'hubert', 'fa', 'dataset:shemo', 'transformers', 'audio', 'speech', 'speech-gender-recognition', 'license:apache-2.0']
| false | true | true | 2,578 |
22,218 |
m3hrdadfi/hubert-large-greek-speech-emotion-recognition
|
m3hrdadfi
|
hubert
| 7 | 7 |
transformers
| 0 | null | true | false | false |
apache-2.0
|
['el']
|
['aesdd']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'hubert', 'el', 'dataset:aesdd', 'transformers', 'audio', 'speech', 'speech-emotion-recognition', 'license:apache-2.0']
| false | true | true | 2,893 |
22,219 |
m3hrdadfi/icelandic-ner-bert
|
m3hrdadfi
|
bert
| 9 | 79 |
transformers
| 0 |
token-classification
| true | true | false |
apache-2.0
|
['is']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'token-classification', 'is', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,619 |
22,220 |
m3hrdadfi/icelandic-ner-distilbert
|
m3hrdadfi
|
distilbert
| 10 | 14 |
transformers
| 0 |
token-classification
| true | true | false |
apache-2.0
|
['is']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'distilbert', 'token-classification', 'is', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,631 |
22,221 |
m3hrdadfi/icelandic-ner-roberta
|
m3hrdadfi
|
roberta
| 10 | 113 |
transformers
| 0 |
token-classification
| true | true | false |
apache-2.0
|
['is']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'roberta', 'token-classification', 'is', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,625 |
22,222 |
m3hrdadfi/roberta-zwnj-wnli-mean-tokens
|
m3hrdadfi
|
roberta
| 13 | 237 |
sentence-transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers']
| false | true | true | 2,240 |
22,223 |
m3hrdadfi/typo-detector-distilbert-en
|
m3hrdadfi
|
distilbert
| 9 | 4,770 |
transformers
| 5 |
token-classification
| true | true | false | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'distilbert', 'token-classification', 'en', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 3,864 |
22,224 |
m3hrdadfi/typo-detector-distilbert-is
|
m3hrdadfi
|
distilbert
| 10 | 51 |
transformers
| 0 |
token-classification
| true | true | false | null |
['is']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'distilbert', 'token-classification', 'is', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 4,052 |
22,225 |
m3hrdadfi/wav2vec2-base-100k-eating-sound-collection
|
m3hrdadfi
|
wav2vec2
| 12 | 70 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'transformers', 'audio', 'automatic-speech-recognition', 'audio-classification']
| false | true | true | 4,379 |
22,226 |
m3hrdadfi/wav2vec2-base-100k-gtzan-music-genres
|
m3hrdadfi
|
wav2vec2
| 12 | 251 |
transformers
| 12 |
automatic-speech-recognition
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'transformers', 'audio', 'automatic-speech-recognition', 'audio-classification']
| false | true | true | 3,346 |
22,227 |
m3hrdadfi/wav2vec2-large-xlsr-estonian
|
m3hrdadfi
|
wav2vec2
| 18 | 7 |
transformers
| 0 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['et']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'et', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 8,750 |
22,228 |
m3hrdadfi/wav2vec2-large-xlsr-georgian
|
m3hrdadfi
|
wav2vec2
| 15 | 18 |
transformers
| 3 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['ka']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'ka', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 8,318 |
22,229 |
m3hrdadfi/wav2vec2-large-xlsr-icelandic
|
m3hrdadfi
|
wav2vec2
| 23 | 6 |
transformers
| 1 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['is']
|
['malromur']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'is', 'dataset:malromur', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 7,754 |
22,230 |
m3hrdadfi/wav2vec2-large-xlsr-lithuanian
|
m3hrdadfi
|
wav2vec2
| 15 | 30 |
transformers
| 0 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['lt']
|
['common_voice']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'lt', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 8,019 |
22,231 |
m3hrdadfi/wav2vec2-large-xlsr-persian-shemo
|
m3hrdadfi
|
wav2vec2
| 18 | 44 |
transformers
| 2 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['fa']
|
['shemo']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'fa', 'dataset:shemo', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 12,469 |
22,232 |
m3hrdadfi/wav2vec2-large-xlsr-persian-v2
|
m3hrdadfi
|
wav2vec2
| 18 | 66 |
transformers
| 0 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['fa']
|
['common_voice']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'fa', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 11,193 |
22,233 |
m3hrdadfi/wav2vec2-large-xlsr-persian-v3
|
m3hrdadfi
|
wav2vec2
| 16 | 979 |
transformers
| 13 |
automatic-speech-recognition
| true | true | false | null |
['fa']
|
['common_voice']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'wav2vec2', 'automatic-speech-recognition', 'fa', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'model-index', 'has_space']
| true | true | true | 6,368 |
22,234 |
m3hrdadfi/wav2vec2-large-xlsr-persian
|
m3hrdadfi
|
wav2vec2
| 13 | 297 |
transformers
| 7 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['fa']
|
['common_voice']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'fa', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 9,859 |
22,235 |
m3hrdadfi/wav2vec2-large-xlsr-turkish
|
m3hrdadfi
|
wav2vec2
| 18 | 98 |
transformers
| 4 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['tr']
|
['common_voice']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'tr', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index', 'has_space']
| true | true | true | 9,129 |
22,236 |
m3hrdadfi/wav2vec2-xlsr-greek-speech-emotion-recognition
|
m3hrdadfi
|
wav2vec2
| 17 | 82 |
transformers
| 4 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['el']
|
['aesdd']
| null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'jax', 'wav2vec2', 'el', 'dataset:aesdd', 'transformers', 'audio', 'automatic-speech-recognition', 'speech', 'speech-emotion-recognition', 'license:apache-2.0', 'has_space']
| false | true | true | 2,750 |
22,237 |
m3hrdadfi/wav2vec2-xlsr-persian-speech-emotion-recognition
|
m3hrdadfi
|
wav2vec2
| 9 | 1,341 |
transformers
| 3 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['fa']
|
['ShEMO']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'fa', 'dataset:ShEMO', 'transformers', 'audio', 'automatic-speech-recognition', 'speech', 'speech-emotion-recognition', 'license:apache-2.0']
| false | true | true | 2,847 |
22,238 |
m3hrdadfi/wili2018-roberta-base
|
m3hrdadfi
|
roberta
| 11 | 17 |
transformers
| 0 |
fill-mask
| true | true | false |
apache-2.0
|
['multilingual']
|
['wili_2018']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'roberta', 'fill-mask', 'multilingual', 'dataset:wili_2018', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | false | 0 |
22,239 |
m3hrdadfi/xlmr-large-qa-fa
|
m3hrdadfi
|
xlm-roberta
| 9 | 110 |
transformers
| 1 |
question-answering
| true | true | false | null |
['fa', 'multilingual']
|
['SajjadAyoubi/persian_qa']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'xlm-roberta', 'question-answering', 'fa', 'multilingual', 'dataset:SajjadAyoubi/persian_qa', 'transformers', 'roberta', 'squad', 'model-index', 'autotrain_compatible']
| true | true | true | 3,018 |
22,240 |
m3hrdadfi/xlmr-large-qa-sv
|
m3hrdadfi
|
xlm-roberta
| 9 | 99 |
transformers
| 2 |
question-answering
| true | true | false | null |
['sv', 'multilingual']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'xlm-roberta', 'question-answering', 'sv', 'multilingual', 'transformers', 'roberta', 'squad', 'model-index', 'autotrain_compatible']
| true | true | true | 2,129 |
22,241 |
m3hrdadfi/zabanshenas-roberta-base-mix
|
m3hrdadfi
|
roberta
| 11 | 33 |
transformers
| 3 |
text-classification
| true | true | false |
apache-2.0
|
['multilingual', 'ace', 'afr', 'als', 'amh', 'ang', 'ara', 'arg', 'arz', 'asm', 'ast', 'ava', 'aym', 'azb', 'aze', 'bak', 'bar', 'bcl', 'bel', 'ben', 'bho', 'bjn', 'bod', 'bos', 'bpy', 'bre', 'bul', 'bxr', 'cat', 'cbk', 'cdo', 'ceb', 'ces', 'che', 'chr', 'chv', 'ckb', 'cor', 'cos', 'crh', 'csb', 'cym', 'dan', 'deu', 'diq', 'div', 'dsb', 'dty', 'egl', 'ell', 'eng', 'epo', 'est', 'eus', 'ext', 'fao', 'fas', 'fin', 'fra', 'frp', 'fry', 'fur', 'gag', 'gla', 'gle', 'glg', 'glk', 'glv', 'grn', 'guj', 'hak', 'hat', 'hau', 'hbs', 'heb', 'hif', 'hin', 'hrv', 'hsb', 'hun', 'hye', 'ibo', 'ido', 'ile', 'ilo', 'ina', 'ind', 'isl', 'ita', 'jam', 'jav', 'jbo', 'jpn', 'kaa', 'kab', 'kan', 'kat', 'kaz', 'kbd', 'khm', 'kin', 'kir', 'koi', 'kok', 'kom', 'kor', 'krc', 'ksh', 'kur', 'lad', 'lao', 'lat', 'lav', 'lez', 'lij', 'lim', 'lin', 'lit', 'lmo', 'lrc', 'ltg', 'ltz', 'lug', 'lzh', 'mai', 'mal', 'mar', 'mdf', 'mhr', 'min', 'mkd', 'mlg', 'mlt', 'nan', 'mon', 'mri', 'mrj', 'msa', 'mwl', 'mya', 'myv', 'mzn', 'nap', 'nav', 'nci', 'nds', 'nep', 'new', 'nld', 'nno', 'nob', 'nrm', 'nso', 'oci', 'olo', 'ori', 'orm', 'oss', 'pag', 'pam', 'pan', 'pap', 'pcd', 'pdc', 'pfl', 'pnb', 'pol', 'por', 'pus', 'que', 'roh', 'ron', 'rue', 'rup', 'rus', 'sah', 'san', 'scn', 'sco', 'sgs', 'sin', 'slk', 'slv', 'sme', 'sna', 'snd', 'som', 'spa', 'sqi', 'srd', 'srn', 'srp', 'stq', 'sun', 'swa', 'swe', 'szl', 'tam', 'tat', 'tcy', 'tel', 'tet', 'tgk', 'tgl', 'tha', 'ton', 'tsn', 'tuk', 'tur', 'tyv', 'udm', 'uig', 'ukr', 'urd', 'uzb', 'vec', 'vep', 'vie', 'vls', 'vol', 'vro', 'war', 'wln', 'wol', 'wuu', 'xho', 'xmf', 'yid', 'yor', 'zea', 'zho']
|
['wili_2018']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'roberta', 'text-classification', 'multilingual', 'ace', 'afr', 'als', 'amh', 'ang', 'ara', 'arg', 'arz', 'asm', 'ast', 'ava', 'aym', 'azb', 'aze', 'bak', 'bar', 'bcl', 'bel', 'ben', 'bho', 'bjn', 'bod', 'bos', 'bpy', 'bre', 'bul', 'bxr', 'cat', 'cbk', 'cdo', 'ceb', 'ces', 'che', 'chr', 'chv', 'ckb', 'cor', 'cos', 'crh', 'csb', 'cym', 'dan', 'deu', 'diq', 'div', 'dsb', 'dty', 'egl', 'ell', 'eng', 'epo', 'est', 'eus', 'ext', 'fao', 'fas', 'fin', 'fra', 'frp', 'fry', 'fur', 'gag', 'gla', 'gle', 'glg', 'glk', 'glv', 'grn', 'guj', 'hak', 'hat', 'hau', 'hbs', 'heb', 'hif', 'hin', 'hrv', 'hsb', 'hun', 'hye', 'ibo', 'ido', 'ile', 'ilo', 'ina', 'ind', 'isl', 'ita', 'jam', 'jav', 'jbo', 'jpn', 'kaa', 'kab', 'kan', 'kat', 'kaz', 'kbd', 'khm', 'kin', 'kir', 'koi', 'kok', 'kom', 'kor', 'krc', 'ksh', 'kur', 'lad', 'lao', 'lat', 'lav', 'lez', 'lij', 'lim', 'lin', 'lit', 'lmo', 'lrc', 'ltg', 'ltz', 'lug', 'lzh', 'mai', 'mal', 'mar', 'mdf', 'mhr', 'min', 'mkd', 'mlg', 'mlt', 'nan', 'mon', 'mri', 'mrj', 'msa', 'mwl', 'mya', 'myv', 'mzn', 'nap', 'nav', 'nci', 'nds', 'nep', 'new', 'nld', 'nno', 'nob', 'nrm', 'nso', 'oci', 'olo', 'ori', 'orm', 'oss', 'pag', 'pam', 'pan', 'pap', 'pcd', 'pdc', 'pfl', 'pnb', 'pol', 'por', 'pus', 'que', 'roh', 'ron', 'rue', 'rup', 'rus', 'sah', 'san', 'scn', 'sco', 'sgs', 'sin', 'slk', 'slv', 'sme', 'sna', 'snd', 'som', 'spa', 'sqi', 'srd', 'srn', 'srp', 'stq', 'sun', 'swa', 'swe', 'szl', 'tam', 'tat', 'tcy', 'tel', 'tet', 'tgk', 'tgl', 'tha', 'ton', 'tsn', 'tuk', 'tur', 'tyv', 'udm', 'uig', 'ukr', 'urd', 'uzb', 'vec', 'vep', 'vie', 'vls', 'vol', 'vro', 'war', 'wln', 'wol', 'wuu', 'xho', 'xmf', 'yid', 'yor', 'zea', 'zho', 'dataset:wili_2018', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 56,099 |
22,242 |
m3rg-iitd/matscibert
|
m3rg-iitd
|
bert
| 8 | 4,285 |
transformers
| 7 |
fill-mask
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | true | 1,454 |
22,243 |
m3tafl0ps/autonlp-NLPIsFun-251844
|
m3tafl0ps
|
bert
| 9 | 9 |
transformers
| 0 |
text-classification
| true | false | false | null |
['en']
|
['m3tafl0ps/autonlp-data-NLPIsFun']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'en', 'dataset:m3tafl0ps/autonlp-data-NLPIsFun', 'transformers', 'autonlp']
| false | true | true | 950 |
22,244 |
maaaa/results
|
maaaa
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,245 |
maaz2301/m1
|
maaz2301
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,246 |
mabu/wav2vec2-base-finetuned-ks
|
mabu
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,247 |
macedonizer/al-gpt2
|
macedonizer
|
gpt2
| 7 | 12 |
transformers
| 1 |
text-generation
| true | false | false |
apache-2.0
|
['al']
|
['wiki-al']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'al', 'dataset:wiki-al', 'transformers', 'license:apache-2.0']
| false | true | true | 2,538 |
22,248 |
macedonizer/al-roberta-base
|
macedonizer
|
roberta
| 8 | 6 |
transformers
| 1 |
fill-mask
| true | false | false |
apache-2.0
|
['al']
|
['wiki-sh']
| null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'al', 'dataset:wiki-sh', 'transformers', 'masked-lm', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,284 |
22,249 |
macedonizer/ba-roberta-base
|
macedonizer
|
roberta
| 8 | 6 |
transformers
| 0 |
fill-mask
| true | false | false |
apache-2.0
|
['ba']
|
['wiki-bs']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'ba', 'dataset:wiki-bs', 'transformers', 'masked-lm', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,419 |
22,250 |
macedonizer/blaze-koneski
|
macedonizer
|
gpt2
| 10 | 10 |
transformers
| 0 |
text-generation
| true | false | false |
apache-2.0
|
['mk']
|
['wiki-mk', 'blaze-koneski-poetry']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'mk', 'dataset:wiki-mk', 'dataset:blaze-koneski-poetry', 'transformers', 'license:apache-2.0']
| false | true | true | 2,052 |
22,251 |
macedonizer/gr-gpt2
|
macedonizer
|
gpt2
| 7 | 19 |
transformers
| 0 |
text-generation
| true | false | false |
apache-2.0
|
['gr']
|
['wiki-gr']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'gr', 'dataset:wiki-gr', 'transformers', 'license:apache-2.0']
| false | true | true | 2,533 |
22,252 |
macedonizer/gr-roberta-base
|
macedonizer
|
roberta
| 8 | 17 |
transformers
| 0 |
fill-mask
| true | false | false |
apache-2.0
|
['gr']
|
['wiki-gr']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'gr', 'dataset:wiki-gr', 'transformers', 'masked-lm', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,311 |
22,253 |
macedonizer/hr-gpt2
|
macedonizer
|
gpt2
| 8 | 20 |
transformers
| 1 |
text-generation
| true | false | false |
apache-2.0
|
['hr']
|
['wiki-hr']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'hr', 'dataset:wiki-hr', 'transformers', 'license:apache-2.0']
| false | true | true | 2,546 |
22,254 |
macedonizer/hr-roberta-base
|
macedonizer
|
roberta
| 8 | 14 |
transformers
| 1 |
fill-mask
| true | false | true |
apache-2.0
|
['hr']
|
['wiki-hr']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'hr', 'dataset:wiki-hr', 'transformers', 'masked-lm', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,250 |
22,255 |
macedonizer/mk-gpt2
|
macedonizer
|
gpt2
| 13 | 10 |
transformers
| 0 |
text-generation
| true | false | false |
apache-2.0
|
['mk']
|
['wiki-mk', 'time-mk-news-2010-2015']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'mk', 'dataset:wiki-mk', 'dataset:time-mk-news-2010-2015', 'transformers', 'license:apache-2.0']
| false | true | true | 2,531 |
22,256 |
macedonizer/mk-roberta-base
|
macedonizer
|
roberta
| 13 | 43 |
transformers
| 0 |
fill-mask
| true | false | true |
apache-2.0
|
['mk']
|
['wiki-mk', 'time-mk-news-2010-2015']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'mk', 'dataset:wiki-mk', 'dataset:time-mk-news-2010-2015', 'transformers', 'masked-lm', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,367 |
22,257 |
macedonizer/sl-gpt2
|
macedonizer
|
gpt2
| 8 | 20 |
transformers
| 1 |
text-generation
| true | false | false |
apache-2.0
|
['sl']
|
['wiki-sl']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'sl', 'dataset:wiki-sl', 'transformers', 'license:apache-2.0']
| false | true | true | 2,532 |
22,258 |
macedonizer/sl-roberta-base
|
macedonizer
|
roberta
| 10 | 8 |
transformers
| 0 |
fill-mask
| true | false | true |
apache-2.0
|
['sl']
|
['wiki-sl']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'sl', 'dataset:wiki-sl', 'transformers', 'masked-lm', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,250 |
22,259 |
macedonizer/sr-gpt2
|
macedonizer
|
gpt2
| 7 | 34 |
transformers
| 0 |
text-generation
| true | false | false |
apache-2.0
|
['sr']
|
['wiki-sr']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'sr', 'dataset:wiki-sr', 'transformers', 'license:apache-2.0']
| false | true | true | 2,540 |
22,260 |
macedonizer/sr-roberta-base
|
macedonizer
|
roberta
| 9 | 10 |
transformers
| 1 |
fill-mask
| true | false | true |
apache-2.0
|
['sr']
|
['wiki-sr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'sr', 'dataset:wiki-sr', 'transformers', 'masked-lm', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,251 |
22,261 |
machelreid/afrobart
|
machelreid
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,262 |
machine123/first_machine_learning_model
|
machine123
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,263 |
machine2049/bert-base-uncased-finetuned-duorc_bert
|
machine2049
|
bert
| 9 | 7 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
22,264 |
machine2049/bert-base-uncased-finetuned-duorc_distilbert
|
machine2049
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,265 |
machine2049/bert-base-uncased-finetuned-squad
|
machine2049
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,266 |
machine2049/distilbert-base-uncased-distilled-squad-finetuned-duorc_distilbert
|
machine2049
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,267 |
machine2049/distilbert-base-uncased-finetuned-duorc_distilbert
|
machine2049
|
distilbert
| 9 | 8 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
22,268 |
machine2049/distilbert-base-uncased-finetuned-squad
|
machine2049
|
distilbert
| 9 | 8 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
22,269 |
machine2049/distilbert-base-uncased-finetuned-squad_distilbert
|
machine2049
|
distilbert
| 9 | 8 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
22,270 |
machinelord/bert_esa_ep4
|
machinelord
|
bert
| 5 | 7 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
22,271 |
mackei/ai12
|
mackei
|
bert
| 9 | 5 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
22,272 |
mackseem/distilbert-base-uncased-finetuned-ner
|
mackseem
|
distilbert
| 13 | 9 |
transformers
| 0 |
token-classification
| true | false | false |
apache-2.0
| null |
['conll2003']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'distilbert', 'token-classification', 'dataset:conll2003', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'model-index', 'autotrain_compatible']
| true | true | true | 1,556 |
22,273 |
macleginn/bert-multilingual-paws
|
macleginn
| null | 2 | 0 | null | 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch']
| false | false | false | 0 |
22,274 |
madbuda/DialoGPT-got-skippy
|
madbuda
|
gpt2
| 11 | 20 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 18 |
22,275 |
madbuda/DialoGPT-medium-skippy
|
madbuda
|
gpt2
| 11 | 12 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 19 |
22,276 |
madhurik/distilgpt2-finetuned-wikitext2
|
madhurik
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,277 |
madhurik/distilroberta-base-finetuned-wikitext2
|
madhurik
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,278 |
madhurjindal/autonlp-Gibberish-Detector-492513457
|
madhurjindal
|
distilbert
| 9 | 175,566 |
transformers
| 20 |
text-classification
| true | false | false | null |
['en']
|
['madhurjindal/autonlp-data-Gibberish-Detector']
|
5.527544460835904
| 2 | 2 | 0 | 0 | 2 | 1 | 1 |
['pytorch', 'distilbert', 'text-classification', 'en', 'dataset:madhurjindal/autonlp-data-Gibberish-Detector', 'transformers', 'autonlp', 'co2_eq_emissions', 'has_space']
| false | true | true | 4,127 |
22,279 |
madisonh/madi
|
madisonh
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,280 |
madlag/albert-base-v2-squad
|
madlag
|
albert
| 16 | 365 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | true | 360 |
22,281 |
madlag/bert-base-uncased-squad-v1-sparse0.25
|
madlag
|
bert
| 11 | 11 |
transformers
| 0 |
question-answering
| true | true | true |
mit
|
['en']
|
['squad']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'question-answering', 'en', 'dataset:squad', 'arxiv:2005.07683', 'transformers', 'bert-base', 'license:mit', 'autotrain_compatible']
| false | true | true | 1,899 |
22,282 |
madlag/bert-base-uncased-squad1.1-block-sparse-0.07-v1
|
madlag
|
bert
| 83 | 22 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'arxiv:2005.07683', 'transformers', 'bert-base', 'license:mit', 'autotrain_compatible']
| false | true | true | 2,700 |
22,283 |
madlag/bert-base-uncased-squad1.1-block-sparse-0.13-v1
|
madlag
|
bert
| 83 | 48 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'arxiv:2005.07683', 'transformers', 'bert-base', 'license:mit', 'autotrain_compatible']
| false | true | true | 2,700 |
22,284 |
madlag/bert-base-uncased-squad1.1-block-sparse-0.20-v1
|
madlag
|
bert
| 84 | 18 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'arxiv:2005.07683', 'transformers', 'bert-base', 'license:mit', 'autotrain_compatible']
| false | true | true | 2,700 |
22,285 |
madlag/bert-base-uncased-squad1.1-block-sparse-0.32-v1
|
madlag
|
bert
| 83 | 10 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'arxiv:2005.07683', 'transformers', 'bert-base', 'license:mit', 'autotrain_compatible']
| false | true | true | 2,700 |
22,286 |
madlag/bert-base-uncased-squad1.1-pruned-x3.2-v2
|
madlag
|
bert
| 15 | 9 |
transformers
| 0 |
question-answering
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
22,287 |
madlag/bert-base-uncased-squadv1-x1.16-f88.1-d8-unstruct-v1
|
madlag
|
bert
| 93 | 10 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 3,809 |
22,288 |
madlag/bert-base-uncased-squadv1-x1.84-f88.7-d36-hybrid-filled-v1
|
madlag
|
bert
| 93 | 9 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 3,892 |
22,289 |
madlag/bert-base-uncased-squadv1-x1.96-f88.3-d27-hybrid-filled-opt-v1
|
madlag
|
bert
| 93 | 10 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 4,283 |
22,290 |
madlag/bert-base-uncased-squadv1-x2.01-f89.2-d30-hybrid-rewind-opt-v1
|
madlag
|
bert
| 93 | 871 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 4,283 |
22,291 |
madlag/bert-base-uncased-squadv1-x2.32-f86.6-d15-hybrid-v1
|
madlag
|
bert
| 93 | 10 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 3,806 |
22,292 |
madlag/bert-base-uncased-squadv1-x2.44-f87.7-d26-hybrid-filled-v1
|
madlag
|
bert
| 93 | 14 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 3,896 |
22,293 |
madlag/bert-base-uncased-sst2-x5.35-f0.9-d20-hybrid-v1
|
madlag
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
22,294 |
madlag/bert-large-uncased-mnli
|
madlag
|
bert
| 10 | 236 |
transformers
| 0 |
text-classification
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'text-classification', 'transformers']
| false | false | true | 226 |
22,295 |
madlag/bert-large-uncased-squadv2
|
madlag
|
bert
| 13 | 9 |
transformers
| 0 |
question-answering
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'arxiv:1810.04805', 'transformers', 'autotrain_compatible']
| false | false | true | 928 |
22,296 |
madlag/bert-large-uncased-whole-word-masking-finetuned-squadv2
|
madlag
|
bert
| 14 | 62 |
transformers
| 0 |
question-answering
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | true | 800 |
22,297 |
madlag/bert-large-uncased-wwm-squadv2-x2.15-f83.2-d25-hybrid-v1
|
madlag
|
bert
| 166 | 10 |
transformers
| 0 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad_v2']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 4,374 |
22,298 |
madlag/bert-large-uncased-wwm-squadv2-x2.63-f82.6-d16-hybrid-v1
|
madlag
|
bert
| 166 | 81 |
transformers
| 1 |
question-answering
| true | true | false |
mit
|
['en']
|
['squad_v2']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'bert', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:mit', 'autotrain_compatible', 'has_space']
| false | true | true | 4,373 |
22,299 |
madnesso/distilbert-base-uncased-finetuned-cola
|
madnesso
| 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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