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14,000 |
eliza-dukim/bert-base-multilingual-cased_korquad-v1
|
eliza-dukim
|
bert
| 8 | 12 |
transformers
| 1 |
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 | true | 149 |
14,001 |
eliza-dukim/para-kqc-sim
|
eliza-dukim
|
bert
| 5 | 15 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'transformers']
| false | false | false | 0 |
14,002 |
eliza-dukim/roberta-large-qaconv-sds-aug
|
eliza-dukim
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,003 |
eliza-dukim/roberta-large-second
|
eliza-dukim
|
roberta
| 9 | 8 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'text-classification', 'transformers']
| false | false | false | 0 |
14,004 |
elliee123/test
|
elliee123
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,005 |
elliotsmith/dummy-model
|
elliotsmith
|
camembert
| 8 | 7 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'camembert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | true | 46 |
14,006 |
elliotsmith/tmp_trainer
|
elliotsmith
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,007 |
ellisvalentiner/layoutlmv2-finetuned-funsd-test
|
ellisvalentiner
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,008 |
ellziez/me
|
ellziez
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,009 |
eloquentcow69/Hh
|
eloquentcow69
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,010 |
elozano/bert-base-cased-clickbait-news
|
elozano
|
bert
| 8 | 1,167 |
transformers
| 3 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'transformers', 'has_space']
| false | false | false | 0 |
14,011 |
elozano/bert-base-cased-fake-news
|
elozano
|
bert
| 8 | 147 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'transformers', 'has_space']
| false | false | false | 0 |
14,012 |
elozano/bert-base-cased-news-category
|
elozano
|
bert
| 7 | 160 |
transformers
| 5 |
text-classification
| true | false | false | null | null | null | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'transformers', 'has_space']
| false | false | false | 0 |
14,013 |
elozano/tweet_emotion_eval
|
elozano
|
roberta
| 10 | 13 |
transformers
| 4 |
text-classification
| true | false | false |
mit
|
['en']
|
['tweet_eval']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'text-classification', 'en', 'dataset:tweet_eval', 'transformers', 'license:mit', 'has_space']
| false | true | false | 0 |
14,014 |
elozano/tweet_offensive_eval
|
elozano
|
roberta
| 10 | 18 |
transformers
| 3 |
text-classification
| true | false | false |
mit
|
['en']
|
['tweet_eval']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'text-classification', 'en', 'dataset:tweet_eval', 'transformers', 'license:mit', 'has_space']
| false | true | false | 0 |
14,015 |
elozano/tweet_sentiment_eval
|
elozano
|
roberta
| 10 | 45 |
transformers
| 4 |
text-classification
| true | false | false |
mit
|
['en']
|
['tweet_eval']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'text-classification', 'en', 'dataset:tweet_eval', 'transformers', 'license:mit', 'has_space']
| false | true | false | 0 |
14,016 |
eltoto1219/lxmert-base-uncased
|
eltoto1219
|
lxmert
| 4 | 7 |
transformers
| 0 |
feature-extraction
| false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['lxmert', 'feature-extraction', 'transformers']
| false | false | false | 0 |
14,017 |
eltoto1219/lxmert-gqa-untuned
|
eltoto1219
|
lxmert
| 6 | 12 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'lxmert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
14,018 |
elusive-magnolia/dummy-model
|
elusive-magnolia
|
camembert
| 7 | 6 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'camembert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
14,019 |
elverk/elverk
|
elverk
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,020 |
emalmi/t5-small-finetuned-jfleg0
|
emalmi
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,021 |
emalmi/t5-small-finetuned-xsum
|
emalmi
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,022 |
emanjavacas/MacBERTh
|
emanjavacas
|
bert
| 5 | 323 |
transformers
| 6 | null | true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'transformers']
| false | false | true | 28 |
14,023 |
emanuelscaglione/performerbert-base-uncased
|
emanuelscaglione
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,024 |
emanuelscaglione/t5-small-finetuned-xsum
|
emanuelscaglione
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,025 |
emdikey/roberta-base-bne-finetuned-amazon_reviews_multi
|
emdikey
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,026 |
emekaboris/autonlp-new_tx-607517182
|
emekaboris
|
roberta
| 10 | 12 |
transformers
| 0 |
text-classification
| true | false | false | null |
['unk']
|
['emekaboris/autonlp-data-new_tx']
|
3.842950628218143
| 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'text-classification', 'unk', 'dataset:emekaboris/autonlp-data-new_tx', 'transformers', 'autonlp', 'co2_eq_emissions']
| false | true | true | 1,217 |
14,027 |
emekaboris/autonlp-txc-17923124
|
emekaboris
|
roberta
| 10 | 12 |
transformers
| 0 |
text-classification
| true | false | false | null |
['en']
|
['emekaboris/autonlp-data-txc']
|
133.57087522185148
| 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'text-classification', 'en', 'dataset:emekaboris/autonlp-data-txc', 'transformers', 'autonlp', 'co2_eq_emissions']
| false | true | true | 1,207 |
14,028 |
emekaboris/autonlp-txc-17923129
|
emekaboris
|
bert
| 9 | 12 |
transformers
| 0 |
text-classification
| true | false | false | null |
['en']
|
['emekaboris/autonlp-data-txc']
|
610.861733873082
| 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'en', 'dataset:emekaboris/autonlp-data-txc', 'transformers', 'autonlp', 'co2_eq_emissions']
| false | true | true | 1,205 |
14,029 |
emeraldgoose/bad-korean-tokenizer
|
emeraldgoose
|
electra
| 8 | 4 |
transformers
| 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['electra', 'pretraining', 'transformers']
| false | false | true | 122 |
14,030 |
emeraldgoose/bert-base-v1-sports
|
emeraldgoose
|
bert
| 9 | 12 |
transformers
| 0 |
fill-mask
| true | false | false | null |
['ko']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'ko', 'transformers', 'autotrain_compatible']
| false | true | true | 556 |
14,031 |
emeson77/uganda_ASR
|
emeson77
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,032 |
emeson77/wav2vec2-large-xls-r-300m-lauganda-colab
|
emeson77
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,033 |
emeson77/wav2vec2-large-xls-r-300m-turkish-colab
|
emeson77
|
wav2vec2
| 12 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'license:apache-2.0']
| true | true | true | 1,491 |
14,034 |
emfa/danish-bert-botxo-danish-finetuned-hatespeech
|
emfa
|
bert
| 17 | 21 |
transformers
| 0 |
text-classification
| true | false | false |
cc-by-4.0
| null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'bert', 'text-classification', 'transformers', 'generated_from_trainer', 'license:cc-by-4.0']
| true | true | true | 1,562 |
14,035 |
emfa/danish-roberta-botxo-danish-finetuned-hatespeech
|
emfa
|
roberta
| 21 | 10 |
transformers
| 0 |
text-classification
| true | false | false |
cc-by-4.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'roberta', 'text-classification', 'transformers', 'generated_from_trainer', 'license:cc-by-4.0']
| true | true | true | 1,531 |
14,036 |
emfa/l-lectra-danish-finetuned-hatespeech
|
emfa
|
electra
| 14 | 10 |
transformers
| 0 |
text-classification
| true | false | false |
mit
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'electra', 'text-classification', 'transformers', 'generated_from_trainer', 'license:mit']
| true | true | true | 1,591 |
14,037 |
emil2000/dialogpt-for-french-language
|
emil2000
|
gpt2
| 11 | 58 |
transformers
| 1 |
text-generation
| true | false | false | null |
['fr']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'fr', 'transformers']
| false | true | true | 364 |
14,038 |
emillykkejensen/daT5-base
|
emillykkejensen
|
mt5
| 7 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false |
apache-2.0
|
['da']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mt5', 'text2text-generation', 'da', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 814 |
14,039 |
emillykkejensen/daT5-large
|
emillykkejensen
|
mt5
| 7 | 8 |
transformers
| 0 |
text2text-generation
| true | false | false |
apache-2.0
|
['da']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mt5', 'text2text-generation', 'da', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 831 |
14,040 |
emilyalsentzer/Bio_ClinicalBERT
|
emilyalsentzer
|
bert
| 12 | 439,174 |
transformers
| 149 |
fill-mask
| true | true | true |
mit
|
['en']
| null | null | 3 | 2 | 1 | 0 | 3 | 2 | 1 |
['pytorch', 'tf', 'jax', 'bert', 'en', 'arxiv:1904.03323', 'arxiv:1901.08746', 'transformers', 'fill-mask', 'license:mit', 'has_space']
| false | true | true | 2,614 |
14,041 |
emilyalsentzer/Bio_Discharge_Summary_BERT
|
emilyalsentzer
|
bert
| 11 | 9,906 |
transformers
| 21 |
fill-mask
| true | false | true |
mit
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'en', 'arxiv:1904.03323', 'arxiv:1901.08746', 'transformers', 'fill-mask', 'license:mit', 'has_space']
| false | true | true | 2,697 |
14,042 |
emix111/k2t-test3
|
emix111
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,043 |
emix111/modello
|
emix111
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,044 |
eml914/streaming_transformer_asr_librispeech
|
eml914
| null | 31 | 2 |
espnet
| 0 |
automatic-speech-recognition
| false | false | false |
cc-by-4.0
|
['en']
|
['librispeech']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['en', 'dataset:librispeech', 'arxiv:1804.00015', 'espnet', 'audio', 'automatic-speech-recognition', 'license:cc-by-4.0']
| false | true | true | 56,511 |
14,045 |
emma19/speech-recognition
|
emma19
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,046 |
empushy/gpt2-alerts
|
empushy
|
gpt2
| 52 | 12 |
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 |
14,047 |
empushy/gpt2-emulator
|
empushy
|
gpt2
| 21 | 23 |
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 |
14,048 |
emranmdanas/asr_model
|
emranmdanas
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,049 |
emranmdanas/wav2vec2-large-xls-r-300m-tr-colab
|
emranmdanas
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,050 |
emre/arxiv27k-t5-abst-title-gen
|
emre
|
mt5
| 13 | 16 |
transformers
| 0 |
summarization
| true | false | false |
apache-2.0
| null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'mt5', 'text2text-generation', 'transformers', 'generated_from_trainer', 'summarization', 'license:apache-2.0', 'autotrain_compatible']
| true | true | true | 1,136 |
14,051 |
emre/distilbert-base-uncased-finetuned-squad
|
emre
|
distilbert
| 12 | 11 |
transformers
| 0 |
question-answering
| true | false | false |
apache-2.0
| null |
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'distilbert', 'question-answering', 'dataset:squad', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| true | true | true | 1,285 |
14,052 |
emre/distilbert-tr-q-a
|
emre
|
bert
| 8 | 10 |
transformers
| 0 |
question-answering
| true | false | false | null |
['tr']
|
['TQuAD']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'question-answering', 'tr', 'dataset:TQuAD', 'transformers', 'loodos-bert-base', 'TQuAD', 'autotrain_compatible']
| false | true | true | 1,575 |
14,053 |
emre/jurisprudence-textgen-gpt-2
|
emre
|
gpt2
| 9 | 4 |
transformers
| 0 | null | false | true | false |
mit
|
['tr']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['tf', 'gpt2', 'tr', 'transformers', 'license:mit']
| false | true | true | 5,347 |
14,054 |
emre/wav2vec-tr-lite-AG
|
emre
|
wav2vec2
| 11 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'tr', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'license:apache-2.0']
| false | false | false | 0 |
14,055 |
emre/wav2vec2-large-xls-r-300m-tr
|
emre
|
wav2vec2
| 18 | 9 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['tr']
|
['mozilla-foundation/common_voice_8_0']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'tr', 'dataset:mozilla-foundation/common_voice_8_0', 'transformers', 'generated_from_trainer', 'hf-asr-leaderboard', 'mozilla-foundation/common_voice_8_0', 'robust-speech-event', 'license:apache-2.0', 'model-index']
| true | true | true | 10,797 |
14,056 |
emre/wav2vec2-large-xlsr-53-W2V2-TATAR-SMALL
|
emre
|
wav2vec2
| 15 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['tt']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'tt', 'dataset:common_voice', 'transformers', 'common_voice', 'generated_from_trainer', 'hf-asr-leaderboard', 'robust-speech-event', 'license:apache-2.0', 'model-index']
| true | true | true | 2,844 |
14,057 |
emre/wav2vec2-large-xlsr-53-W2V2-TR-MED
|
emre
|
wav2vec2
| 14 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'license:apache-2.0']
| true | true | true | 2,152 |
14,058 |
emre/wav2vec2-large-xlsr-53-demo-colab
|
emre
|
wav2vec2
| 13 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'license:apache-2.0']
| true | true | true | 1,731 |
14,059 |
emre/wav2vec2-large-xlsr-53-sah-CV8
|
emre
|
wav2vec2
| 15 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['sah']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'sah', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 1,488 |
14,060 |
emre/wav2vec2-xls-r-300m-Br-small
|
emre
|
wav2vec2
| 15 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['br']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'br', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 1,713 |
14,061 |
emre/wav2vec2-xls-r-300m-Russian-small
|
emre
|
wav2vec2
| 17 | 17 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['ru']
|
['common_voice']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'ru', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'hf-asr-leaderboard', 'robust-speech-event', 'license:apache-2.0', 'model-index']
| true | true | true | 1,725 |
14,062 |
emre/wav2vec2-xls-r-300m-Tr-med-CommonVoice8-Tr-med-CommonVoice8
|
emre
|
wav2vec2
| 14 | 8 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'license:apache-2.0']
| true | true | true | 1,782 |
14,063 |
emre/wav2vec2-xls-r-300m-Tr-med-CommonVoice8
|
emre
|
wav2vec2
| 15 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['tr']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'tr', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'hf-asr-leaderboard', 'robust-speech-event', 'license:apache-2.0', 'model-index']
| true | true | true | 1,496 |
14,064 |
emre/wav2vec2-xls-r-300m-Turkish-Tr-med
|
emre
|
wav2vec2
| 14 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'license:apache-2.0']
| true | true | true | 2,146 |
14,065 |
emre/wav2vec2-xls-r-300m-Turkish-Tr-small-CommonVoice8
|
emre
|
wav2vec2
| 16 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'license:apache-2.0']
| true | true | true | 1,860 |
14,066 |
emre/wav2vec2-xls-r-300m-Turkish-Tr-small
|
emre
|
wav2vec2
| 14 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'license:apache-2.0']
| true | true | true | 1,728 |
14,067 |
emre/wav2vec2-xls-r-300m-W2V2-XLSR-300M-YAKUT-SMALL
|
emre
|
wav2vec2
| 15 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['sah']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'sah', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 1,438 |
14,068 |
emre/wav2vec2-xls-r-300m-ab-CV8
|
emre
|
wav2vec2
| 15 | 9 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['ab']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'ab', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'hf-asr-leaderboard', 'robust-speech-event', 'license:apache-2.0', 'model-index']
| true | true | true | 2,516 |
14,069 |
emre/wav2vec2-xls-r-300m-as-CV8-v1
|
emre
|
wav2vec2
| 14 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['as']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'as', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 1,095 |
14,070 |
emre/wav2vec2-xls-r-300m-bas-CV8-v2
|
emre
|
wav2vec2
| 15 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['bas']
|
['mozilla-foundation/common_voice_8_0']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'bas', 'dataset:mozilla-foundation/common_voice_8_0', 'transformers', 'common_voice', 'generated_from_trainer', 'robust-speech-event', 'hf-asr-leaderboard', 'license:apache-2.0', 'model-index']
| true | true | true | 1,602 |
14,071 |
emre/wav2vec2-xls-r-300m-gl-CV8
|
emre
|
wav2vec2
| 15 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['gl']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'gl', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'hf-asr-leaderboard', 'robust-speech-event', 'license:apache-2.0', 'model-index']
| true | true | true | 1,483 |
14,072 |
emre/wav2vec2-xls-r-300m-hy-AM-CV8-v1
|
emre
|
wav2vec2
| 18 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null |
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'dataset:common_voice', 'transformers', 'generated_from_trainer', 'robust-speech-event', 'license:apache-2.0']
| true | true | true | 1,429 |
14,073 |
emrecan/bert-base-multilingual-cased-allnli_tr
|
emrecan
|
bert
| 13 | 20 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
mit
|
['tr']
|
['nli_tr']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:mit', 'has_space']
| false | true | true | 6,722 |
14,074 |
emrecan/bert-base-multilingual-cased-multinli_tr
|
emrecan
|
bert
| 8 | 20 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | false | 0 |
14,075 |
emrecan/bert-base-multilingual-cased-snli_tr
|
emrecan
|
bert
| 8 | 32 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | false | 0 |
14,076 |
emrecan/bert-base-turkish-cased-allnli_tr
|
emrecan
|
bert
| 13 | 354 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
mit
|
['tr']
|
['nli_tr']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:mit', 'has_space']
| false | true | true | 6,719 |
14,077 |
emrecan/bert-base-turkish-cased-mean-nli-stsb-tr
|
emrecan
|
bert
| 12 | 1,002 |
sentence-transformers
| 8 |
sentence-similarity
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr', 'emrecan/stsb-mt-turkish']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'tr', 'dataset:nli_tr', 'dataset:emrecan/stsb-mt-turkish', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers', 'license:apache-2.0']
| false | true | true | 5,495 |
14,078 |
emrecan/bert-base-turkish-cased-mean-nli
|
emrecan
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,079 |
emrecan/bert-base-turkish-cased-multinli_tr
|
emrecan
|
bert
| 8 | 20 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | false | 0 |
14,080 |
emrecan/bert-base-turkish-cased-snli_tr
|
emrecan
|
bert
| 8 | 20 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | false | 0 |
14,081 |
emrecan/convbert-base-turkish-mc4-cased-allnli_tr
|
emrecan
|
convbert
| 13 | 62 |
transformers
| 1 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'convbert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | true | 6,743 |
14,082 |
emrecan/convbert-base-turkish-mc4-cased-multinli_tr
|
emrecan
|
convbert
| 8 | 20 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'convbert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | false | 0 |
14,083 |
emrecan/convbert-base-turkish-mc4-cased-snli_tr
|
emrecan
|
convbert
| 8 | 20 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'convbert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | false | 0 |
14,084 |
emrecan/distilbert-base-turkish-cased-allnli_tr
|
emrecan
|
distilbert
| 13 | 22 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | true | 6,737 |
14,085 |
emrecan/distilbert-base-turkish-cased-multinli_tr
|
emrecan
|
distilbert
| 8 | 23 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | false | 0 |
14,086 |
emrecan/distilbert-base-turkish-cased-snli_tr
|
emrecan
|
distilbert
| 8 | 23 |
transformers
| 0 |
zero-shot-classification
| true | false | false |
apache-2.0
|
['tr']
|
['nli_tr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'text-classification', 'tr', 'dataset:nli_tr', 'transformers', 'zero-shot-classification', 'nli', 'license:apache-2.0', 'has_space']
| false | true | false | 0 |
14,087 |
en/bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
|
en
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,088 |
en/distilbert-base-uncased-finetuned-squad
|
en
|
distilbert
| 12 | 11 |
transformers
| 0 |
question-answering
| true | false | false |
apache-2.0
| null |
['squad']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'distilbert', 'question-answering', 'dataset:squad', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| true | true | true | 1,284 |
14,089 |
enelpi/bert-question-answering-cased-squadv2_tr
|
enelpi
|
bert
| 10 | 94 |
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']
| false | false | false | 0 |
14,090 |
enelpi/bert-question-answering-uncased-squadv2_tr
|
enelpi
|
bert
| 10 | 13 |
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']
| false | false | false | 0 |
14,091 |
enelpi/electra-base-discriminator-finetuned_squadv1_tr
|
enelpi
|
electra
| 8 | 11 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
14,092 |
enelpi/electra-base-discriminator-finetuned_squadv2_tr
|
enelpi
|
electra
| 7 | 15 |
transformers
| 1 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
14,093 |
enelpi/electra-tr-enelpi-squad-qa
|
enelpi
|
electra
| 6 | 15 |
transformers
| 1 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
14,094 |
enelpi/example
|
enelpi
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
14,095 |
enelpi/med-electra-small-30k-discriminator
|
enelpi
|
electra
| 5 | 7 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'transformers']
| false | false | false | 0 |
14,096 |
enelpi/med-electra-small-64k-discriminator
|
enelpi
|
electra
| 5 | 7 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'transformers']
| false | false | false | 0 |
14,097 |
enelpi/med-electra-small-discriminator
|
enelpi
|
electra
| 5 | 10 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'transformers']
| false | false | false | 0 |
14,098 |
enelpol/czywiesz-context
|
enelpol
|
bert
| 8 | 10 |
transformers
| 3 |
feature-extraction
| true | false | false | null |
['pl']
|
['enelpol/czywiesz']
| null | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'pl', 'dataset:enelpol/czywiesz', 'transformers']
| false | true | true | 1,365 |
14,099 |
enelpol/czywiesz-question
|
enelpol
|
bert
| 8 | 20 |
transformers
| 1 |
feature-extraction
| true | false | false | null |
['pl']
|
['enelpol/czywiesz']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'pl', 'dataset:enelpol/czywiesz', 'transformers']
| false | true | true | 263 |
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