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342
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849k
|
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23,300 |
moussaKam/frugalscore_medium_deberta_bert-score
|
moussaKam
|
bert
| 12 | 9 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers']
| false | false | true | 2,592 |
23,301 |
moussaKam/frugalscore_medium_roberta_bert-score
|
moussaKam
|
bert
| 12 | 85 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers']
| false | false | true | 2,592 |
23,302 |
moussaKam/frugalscore_small_bert-base_bert-score
|
moussaKam
|
bert
| 12 | 8 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers']
| false | false | true | 2,592 |
23,303 |
moussaKam/frugalscore_small_bert-base_mover-score
|
moussaKam
|
bert
| 12 | 13 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers']
| false | false | true | 2,592 |
23,304 |
moussaKam/frugalscore_small_deberta_bert-score
|
moussaKam
|
bert
| 12 | 8 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers']
| false | false | true | 2,592 |
23,305 |
moussaKam/frugalscore_small_roberta_bert-score
|
moussaKam
|
bert
| 12 | 10 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers']
| false | false | true | 2,592 |
23,306 |
moussaKam/frugalscore_tiny_bert-base_bert-score
|
moussaKam
|
bert
| 12 | 27,614 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers', 'has_space']
| false | false | true | 2,592 |
23,307 |
moussaKam/frugalscore_tiny_bert-base_mover-score
|
moussaKam
|
bert
| 12 | 13 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers']
| false | false | true | 2,592 |
23,308 |
moussaKam/frugalscore_tiny_deberta_bert-score
|
moussaKam
|
bert
| 12 | 12 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers']
| false | false | true | 2,592 |
23,309 |
moussaKam/frugalscore_tiny_roberta_bert-score
|
moussaKam
|
bert
| 12 | 13 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'arxiv:2110.08559', 'transformers']
| false | false | true | 2,592 |
23,310 |
moussaKam/mbarthez
|
moussaKam
|
mbart
| 6 | 1,373 |
transformers
| 5 |
fill-mask
| true | false | false |
apache-2.0
|
['fr']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mbart', 'text2text-generation', 'fr', 'arxiv:2010.12321', 'transformers', 'summarization', 'license:apache-2.0', 'fill-mask', 'autotrain_compatible']
| false | true | true | 1,582 |
23,311 |
moussaKam/tiny_bert-base_bert-score
|
moussaKam
|
bert
| 11 | 7 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'transformers']
| false | false | false | 0 |
23,312 |
moxi43/bert-finetuned-ner
|
moxi43
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,313 |
moxi43/distilbert-base-uncased-finetuned-imdb
|
moxi43
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,314 |
moxi43/dummy-model
|
moxi43
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,315 |
moxi43/marian-finetuned-kde4-en-to-fr
|
moxi43
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,316 |
moye/model_name
|
moye
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,317 |
moyix/csrc_774m
|
moyix
|
gpt2
| 9 | 612 |
transformers
| 5 |
text-generation
| true | false | false |
cc0-1.0
|
['code']
| null | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'code', 'transformers', 'programming', 'causal-lm', 'license:cc0-1.0']
| false | true | true | 1,570 |
23,318 |
mozharovsky/git-t5-base
|
mozharovsky
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,319 |
mpariente/ConvTasNet_Libri1Mix_enhsingle_8k
|
mpariente
| null | 3 | 98 |
asteroid
| 1 | null | true | false | false |
cc-by-sa-4.0
| null |
['LibriMix', 'enh_single']
| null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'dataset:LibriMix', 'dataset:enh_single', 'asteroid', 'audio', 'ConvTasNet', 'license:cc-by-sa-4.0']
| false | true | true | 1,454 |
23,320 |
mpariente/ConvTasNet_Libri3Mix_sepnoisy
|
mpariente
| null | 3 | 93 |
asteroid
| 0 |
audio-to-audio
| true | false | false |
cc-by-sa-4.0
| null |
['LibriMix', 'sep_noisy']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dataset:LibriMix', 'dataset:sep_noisy', 'asteroid', 'audio', 'ConvTasNet', 'audio-to-audio', 'license:cc-by-sa-4.0']
| false | true | true | 1,529 |
23,321 |
mpariente/ConvTasNet_WHAM_sepclean
|
mpariente
| null | 3 | 51 |
asteroid
| 0 |
audio-to-audio
| true | false | false |
cc-by-sa-4.0
| null |
['wham', 'sep_clean']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dataset:wham', 'dataset:sep_clean', 'asteroid', 'audio', 'ConvTasNet', 'audio-to-audio', 'license:cc-by-sa-4.0']
| false | true | true | 1,747 |
23,322 |
mpariente/DPRNNTasNet-ks2_WHAM_sepclean
|
mpariente
| null | 3 | 908 |
asteroid
| 7 |
audio-to-audio
| true | false | false |
cc-by-sa-4.0
| null |
['wham', 'sep_clean']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dataset:wham', 'dataset:sep_clean', 'asteroid', 'audio', 'DPRNNTasNet', 'audio-to-audio', 'license:cc-by-sa-4.0', 'has_space']
| false | true | true | 1,854 |
23,323 |
mpoyraz/wav2vec2-xls-r-300m-cv6-turkish
|
mpoyraz
|
wav2vec2
| 13 | 37 |
transformers
| 6 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['tr']
|
['common_voice']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'tr', 'dataset:common_voice', 'transformers', 'common_voice', 'hf-asr-leaderboard', 'robust-speech-event', 'license:apache-2.0', 'model-index']
| true | true | true | 2,256 |
23,324 |
mpoyraz/wav2vec2-xls-r-300m-cv7-turkish
|
mpoyraz
|
wav2vec2
| 13 | 3,106 |
transformers
| 3 |
automatic-speech-recognition
| true | false | false |
cc-by-4.0
|
['tr']
|
['mozilla-foundation/common_voice_7_0']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'tr', 'dataset:mozilla-foundation/common_voice_7_0', 'transformers', 'hf-asr-leaderboard', 'mozilla-foundation/common_voice_7_0', 'robust-speech-event', 'license:cc-by-4.0', 'model-index']
| true | true | true | 2,325 |
23,325 |
mpoyraz/wav2vec2-xls-r-300m-cv8-turkish
|
mpoyraz
|
wav2vec2
| 13 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['tr']
|
['mozilla-foundation/common_voice_8_0']
| null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'tr', 'dataset:mozilla-foundation/common_voice_8_0', 'transformers', 'common_voice', 'hf-asr-leaderboard', 'mozilla-foundation/common_voice_8_0', 'robust-speech-event', 'license:apache-2.0', 'model-index']
| true | true | true | 2,270 |
23,326 |
mps/distilbert-base-uncased-finetuned-ner
|
mps
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,327 |
mps/tc_model_save
|
mps
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,328 |
mptrigo/MarianMT-model
|
mptrigo
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,329 |
mptrigo/run1
|
mptrigo
|
marian
| 17 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'marian', 'text2text-generation', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 2,611 |
23,330 |
mr-robot/nlp
|
mr-robot
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,331 |
mra1ster/DialoGPT_scully_small
|
mra1ster
|
gpt2
| 37 | 12 |
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 | 35 |
23,332 |
mradau/stress_classifier
|
mradau
|
distilbert
| 4 | 8 |
transformers
| 1 |
text-classification
| false | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['tf', 'distilbert', 'text-classification', 'transformers', 'generated_from_keras_callback']
| true | true | true | 764 |
23,333 |
mradau/stress_score
|
mradau
|
distilbert
| 4 | 4 |
transformers
| 0 |
text-classification
| false | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['tf', 'distilbert', 'text-classification', 'transformers', 'generated_from_keras_callback']
| true | true | true | 764 |
23,334 |
mrconroy/japanreviews
|
mrconroy
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,335 |
mrhamry/bert-base-uncased-finetuned-squad
|
mrhamry
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
23,336 |
mrm8488/AfricanBERTa
|
mrm8488
|
roberta
| 9 | 8 |
transformers
| 0 |
fill-mask
| true | false | true | null | null | null | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,337 |
mrm8488/CodeBERTaPy
|
mrm8488
|
roberta
| 10 | 28 |
transformers
| 2 |
fill-mask
| true | false | true | null |
['code']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'code', 'arxiv:1909.09436', 'transformers', 'autotrain_compatible']
| false | true | true | 2,999 |
23,338 |
mrm8488/CodeGPT-small-finetuned-python-token-completion
|
mrm8488
|
gpt2
| 15 | 112 |
transformers
| 2 |
text-generation
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'gpt2', 'text-generation', 'en', 'transformers']
| false | true | true | 68 |
23,339 |
mrm8488/GPT-2-finetuned-CORD19
|
mrm8488
|
gpt2
| 12 | 11 |
transformers
| 0 |
text-generation
| true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'en', 'transformers']
| false | true | true | 2,660 |
23,340 |
mrm8488/GPT-2-finetuned-CRD3
|
mrm8488
|
gpt2
| 9 | 11 |
transformers
| 0 |
text-generation
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
23,341 |
mrm8488/GPT-2-finetuned-common_gen
|
mrm8488
|
gpt2
| 10 | 26 |
transformers
| 3 |
text-generation
| true | false | true | null |
['en']
|
['common_gen']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'en', 'dataset:common_gen', 'transformers']
| false | true | true | 2,688 |
23,342 |
mrm8488/GPT-2-finetuned-covid-bio-medrxiv
|
mrm8488
|
gpt2
| 10 | 4,479 |
transformers
| 0 |
text-generation
| true | false | true | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'en', 'transformers']
| false | true | true | 2,459 |
23,343 |
mrm8488/GuaPeTe-2-tiny-finetuned-TED
|
mrm8488
|
gpt2
| 11 | 15 |
transformers
| 0 |
text-generation
| true | false | true | null |
['es']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'es', 'transformers', 'spanish', 'gpt-2', 'spanish gpt2']
| false | true | true | 50 |
23,344 |
mrm8488/GuaPeTe-2-tiny-finetuned-eubookshop
|
mrm8488
|
gpt2
| 11 | 9 |
transformers
| 0 |
text-generation
| true | false | true | null |
['es']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'es', 'transformers', 'spanish', 'gpt-2']
| false | true | true | 57 |
23,345 |
mrm8488/GuaPeTe-2-tiny-finetuned-spa-constitution
|
mrm8488
|
gpt2
| 9 | 13 |
transformers
| 0 |
text-generation
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
23,346 |
mrm8488/GuaPeTe-2-tiny
|
mrm8488
|
gpt2
| 10 | 14 |
transformers
| 0 |
text-generation
| true | false | true | null |
['es']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'es', 'transformers', 'spanish', 'gpt-2', 'spanish gpt2']
| false | true | true | 96 |
23,347 |
mrm8488/HindiBERTa
|
mrm8488
|
roberta
| 8 | 19 |
transformers
| 0 |
fill-mask
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | false | 0 |
23,348 |
mrm8488/ManuERT-for-xqua
|
mrm8488
|
bert
| 8 | 11 |
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 |
23,349 |
mrm8488/RoBERTinha
|
mrm8488
|
roberta
| 8 | 30 |
transformers
| 0 |
fill-mask
| true | false | true | null |
['gl']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'gl', 'transformers', 'autotrain_compatible']
| false | true | true | 76 |
23,350 |
mrm8488/RoBasquERTa
|
mrm8488
|
roberta
| 9 | 18 |
transformers
| 0 |
fill-mask
| true | false | true | null |
['eu']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'eu', 'transformers', 'autotrain_compatible']
| false | true | true | 75 |
23,351 |
mrm8488/RuPERTa-base-finetuned-ner
|
mrm8488
|
roberta
| 12 | 9 |
transformers
| 1 |
token-classification
| true | false | true | null |
['es']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'roberta', 'token-classification', 'es', 'transformers', 'autotrain_compatible']
| false | true | true | 2,137 |
23,352 |
mrm8488/RuPERTa-base-finetuned-pawsx-es
|
mrm8488
|
roberta
| 9 | 41 |
transformers
| 0 |
text-classification
| true | false | true | null |
['es']
|
['xtreme']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'text-classification', 'es', 'dataset:xtreme', 'transformers', 'nli']
| false | true | true | 76 |
23,353 |
mrm8488/RuPERTa-base-finetuned-pos
|
mrm8488
|
roberta
| 11 | 11 |
transformers
| 0 |
token-classification
| true | false | true | null |
['es']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'token-classification', 'es', 'transformers', 'autotrain_compatible']
| false | true | true | 2,579 |
23,354 |
mrm8488/RuPERTa-base-finetuned-spa-constitution
|
mrm8488
|
roberta
| 9 | 13 |
transformers
| 0 |
fill-mask
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,355 |
mrm8488/RuPERTa-base-finetuned-squadv1
|
mrm8488
|
roberta
| 12 | 10 |
transformers
| 0 |
question-answering
| true | false | true | null |
['es']
|
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'question-answering', 'es', 'dataset:squad', 'transformers', 'autotrain_compatible']
| false | true | false | 0 |
23,356 |
mrm8488/RuPERTa-base-finetuned-squadv2
|
mrm8488
|
roberta
| 12 | 10 |
transformers
| 0 |
question-answering
| true | false | true | null |
['es']
|
['squad_v2']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'question-answering', 'es', 'dataset:squad_v2', 'transformers', 'autotrain_compatible']
| false | true | false | 0 |
23,357 |
mrm8488/RuPERTa-base
|
mrm8488
|
roberta
| 13 | 31 |
transformers
| 1 |
fill-mask
| true | false | true | null |
['es']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'roberta', 'fill-mask', 'es', 'transformers', 'autotrain_compatible']
| false | true | true | 4,988 |
23,358 |
mrm8488/T5-base-finetuned-cuad
|
mrm8488
|
t5
| 10 | 22 |
transformers
| 2 |
text2text-generation
| true | false | false |
mit
|
['en']
|
['cuad']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 't5', 'text2text-generation', 'en', 'dataset:cuad', 'transformers', 'generated_from_trainer', 'license:mit', 'autotrain_compatible']
| true | true | true | 1,642 |
23,359 |
mrm8488/TinyBERT-spanish-uncased-finetuned-ner
|
mrm8488
|
bert
| 10 | 823 |
transformers
| 1 |
token-classification
| true | false | true | null |
['es']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'token-classification', 'es', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 3,283 |
23,360 |
mrm8488/ViT2GPT-2-es
|
mrm8488
|
vision-encoder-decoder
| 11 | 4 |
transformers
| 0 | null | true | false | false | null |
['es']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'vision-encoder-decoder', 'es', 'transformers', 'Vit2gpt', 'captioning']
| false | true | true | 32 |
23,361 |
mrm8488/a2c-BreakoutNoFrameskip-v4
|
mrm8488
| null | 4 | 0 | null | 1 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | true | 1,884 |
23,362 |
mrm8488/a2c-Pong-v0
|
mrm8488
| null | 4 | 0 |
stable-baselines3
| 0 |
reinforcement-learning
| false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['stable-baselines3', 'deep-reinforcement-learning', 'reinforcement-learning']
| false | true | true | 29 |
23,363 |
mrm8488/a2c-PongNoFrameskip-v0
|
mrm8488
| null | 3 | 0 |
stable-baselines3
| 0 |
reinforcement-learning
| false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['stable-baselines3', 'deep-reinforcement-learning', 'reinforcement-learning']
| false | true | true | 29 |
23,364 |
mrm8488/albert-base-v2-finetuned-mnli-pabee
|
mrm8488
|
albert
| 8 | 7 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'transformers']
| false | false | false | 0 |
23,365 |
mrm8488/b2b-en-paraphrasing-no-questions
|
mrm8488
|
encoder-decoder
| 9 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,366 |
mrm8488/b2b-en-paraphrasing-questions
|
mrm8488
|
encoder-decoder
| 9 | 10 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,367 |
mrm8488/bert-base-german-dbmdz-cased-finetuned-pawsx-de
|
mrm8488
|
bert
| 8 | 26 |
transformers
| 0 |
text-classification
| true | false | true | null |
['de']
|
['xtreme']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'text-classification', 'de', 'dataset:xtreme', 'transformers', 'nli']
| false | true | true | 92 |
23,368 |
mrm8488/bert-base-german-finetuned-ler
|
mrm8488
|
bert
| 11 | 23 |
transformers
| 1 |
token-classification
| true | false | true | null |
['de']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'token-classification', 'de', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 3,047 |
23,369 |
mrm8488/bert-base-portuguese-cased-finetuned-squad-v1-pt
|
mrm8488
|
bert
| 12 | 1,251 |
transformers
| 7 |
question-answering
| true | false | true |
apache-2.0
|
['pt']
|
['squad_v1_pt']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'question-answering', 'pt', 'dataset:squad_v1_pt', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 55 |
23,370 |
mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es
|
mrm8488
|
bert
| 13 | 781 |
transformers
| 2 |
question-answering
| true | false | true | null |
['es']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'es', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 2,976 |
23,371 |
mrm8488/bert-italian-finedtuned-squadv1-it-alfa
|
mrm8488
|
bert
| 11 | 1,922 |
transformers
| 9 |
question-answering
| true | false | true | null |
['it']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'it', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 4,635 |
23,372 |
mrm8488/bert-medium-finetuned-squadv2
|
mrm8488
|
bert
| 12 | 7,306 |
transformers
| 1 |
question-answering
| true | false | true | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'en', 'arxiv:1908.08962', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 4,565 |
23,373 |
mrm8488/bert-medium-wrslb-finetuned-squadv1
|
mrm8488
|
bert
| 10 | 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 |
23,374 |
mrm8488/bert-mini-5-finetuned-squadv2
|
mrm8488
|
bert
| 11 | 40 |
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 |
23,375 |
mrm8488/bert-mini-finetuned-age_news-classification
|
mrm8488
|
bert
| 10 | 804 |
transformers
| 7 |
text-classification
| true | false | true | null |
['en']
|
['ag_news']
| null | 3 | 0 | 3 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'text-classification', 'en', 'dataset:ag_news', 'transformers', 'news', 'classification', 'mini', 'model-index', 'has_space']
| true | true | true | 91 |
23,376 |
mrm8488/bert-mini-finetuned-squadv2
|
mrm8488
|
bert
| 9 | 29 |
transformers
| 0 |
question-answering
| true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'en', 'arxiv:1908.08962', 'transformers', 'autotrain_compatible']
| false | true | true | 3,827 |
23,377 |
mrm8488/bert-mini-wrslb-finetuned-squadv1
|
mrm8488
|
bert
| 10 | 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 |
23,378 |
mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization
|
mrm8488
|
encoder-decoder
| 9 | 116 |
transformers
| 1 |
summarization
| true | false | false |
apache-2.0
|
['en']
|
['cnn_dailymail']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'encoder-decoder', 'text2text-generation', 'en', 'dataset:cnn_dailymail', 'transformers', 'summarization', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,695 |
23,379 |
mrm8488/bert-multi-cased-finedtuned-xquad-tydiqa-goldp
|
mrm8488
|
bert
| 13 | 62 |
transformers
| 4 |
question-answering
| true | false | true | null |
['multilingual']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'question-answering', 'multilingual', 'transformers', 'autotrain_compatible']
| false | true | true | 3,146 |
23,380 |
mrm8488/bert-multi-cased-finetuned-xquadv1
|
mrm8488
|
bert
| 12 | 2,029 |
transformers
| 5 |
question-answering
| true | false | true | null |
['multilingual']
| null | null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'question-answering', 'multilingual', 'arxiv:1910.11856', 'transformers', 'autotrain_compatible']
| false | true | true | 4,977 |
23,381 |
mrm8488/bert-multi-uncased-finetuned-xquadv1
|
mrm8488
|
bert
| 11 | 57 |
transformers
| 0 |
question-answering
| true | false | true | null |
['multilingual']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'multilingual', 'arxiv:1910.11856', 'transformers', 'autotrain_compatible']
| false | true | true | 4,958 |
23,382 |
mrm8488/bert-small-2-finetuned-squadv2
|
mrm8488
|
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', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,383 |
mrm8488/bert-small-finetuned-squadv2
|
mrm8488
|
bert
| 9 | 5,881 |
transformers
| 1 |
question-answering
| true | false | true | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'en', 'arxiv:1908.08962', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 3,721 |
23,384 |
mrm8488/bert-small-finetuned-typo-detection
|
mrm8488
|
bert
| 11 | 12 |
transformers
| 0 |
token-classification
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'token-classification', 'en', 'transformers', 'autotrain_compatible']
| false | true | true | 2,313 |
23,385 |
mrm8488/bert-small-wrslb-finetuned-squadv1
|
mrm8488
|
bert
| 10 | 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 |
23,386 |
mrm8488/bert-small2bert-small-finetuned-cnn_daily_mail-summarization
|
mrm8488
|
encoder-decoder
| 8 | 1,399 |
transformers
| 6 |
summarization
| true | false | false |
apache-2.0
|
['en']
|
['cnn_dailymail']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'en', 'dataset:cnn_dailymail', 'transformers', 'summarization', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 1,702 |
23,387 |
mrm8488/bert-small2bert-small_shared-finetuned-wikisql
|
mrm8488
|
encoder-decoder
| 7 | 12 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,388 |
mrm8488/bert-spanish-cased-finedtuned-ner
|
mrm8488
|
bert
| 8 | 10 |
transformers
| 0 |
token-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,389 |
mrm8488/bert-spanish-cased-finetuned-ner
|
mrm8488
|
bert
| 12 | 21,469 |
transformers
| 16 |
token-classification
| true | false | true | null |
['es']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'token-classification', 'es', 'transformers', 'autotrain_compatible', 'has_space']
| false | true | true | 2,652 |
23,390 |
mrm8488/bert-spanish-cased-finetuned-pos-16-tags
|
mrm8488
|
bert
| 10 | 1,582 |
transformers
| 1 |
token-classification
| true | false | true | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,391 |
mrm8488/bert-spanish-cased-finetuned-pos-syntax
|
mrm8488
|
bert
| 10 | 12 |
transformers
| 0 |
token-classification
| true | false | true | null |
['es']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'token-classification', 'es', 'transformers', 'autotrain_compatible']
| false | true | true | 2,179 |
23,392 |
mrm8488/bert-spanish-cased-finetuned-pos
|
mrm8488
|
bert
| 11 | 183 |
transformers
| 5 |
token-classification
| true | false | true | null |
['es']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'token-classification', 'es', 'transformers', 'POS', 'Spanish', 'autotrain_compatible']
| false | true | true | 3,069 |
23,393 |
mrm8488/bert-tiny-2-finetuned-squadv2
|
mrm8488
|
bert
| 10 | 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 |
23,394 |
mrm8488/bert-tiny-3-finetuned-squadv2
|
mrm8488
|
bert
| 10 | 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 |
23,395 |
mrm8488/bert-tiny-4-finetuned-squadv2
|
mrm8488
|
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', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
23,396 |
mrm8488/bert-tiny-5-finetuned-squadv2
|
mrm8488
|
bert
| 12 | 231 |
transformers
| 3 |
question-answering
| true | false | true | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'en', 'arxiv:1908.08962', 'transformers', 'QA', 'autotrain_compatible']
| false | true | true | 3,129 |
23,397 |
mrm8488/bert-tiny-finetuned-fake-news-detection
|
mrm8488
|
bert
| 12 | 30 |
transformers
| 0 |
text-classification
| true | false | false | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'bert', 'text-classification', 'en', 'transformers']
| false | true | true | 47 |
23,398 |
mrm8488/bert-tiny-finetuned-sms-spam-detection
|
mrm8488
|
bert
| 10 | 2,209 |
transformers
| 18 |
text-classification
| true | false | true | null |
['en']
|
['sms_spam']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'text-classification', 'en', 'dataset:sms_spam', 'transformers', 'sms', 'spam', 'detection', 'has_space']
| false | true | true | 95 |
23,399 |
mrm8488/bert-tiny-finetuned-squadv2
|
mrm8488
|
bert
| 10 | 3,948 |
transformers
| 1 |
question-answering
| true | false | true | null |
['en']
| null | null | 1 | 0 | 1 | 0 | 2 | 0 | 2 |
['pytorch', 'jax', 'safetensors', 'bert', 'question-answering', 'en', 'arxiv:1908.08962', 'transformers', 'QA', 'autotrain_compatible', 'has_space']
| false | true | true | 3,554 |
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