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13,200 |
ddj/minisiri.bert
|
ddj
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,201 |
ddobokki/electra-small-nli-sts
|
ddobokki
|
electra
| 12 | 18 |
sentence-transformers
| 1 |
sentence-similarity
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers', 'ko']
| false | true | true | 3,771 |
13,202 |
ddobokki/gpt2_poem
|
ddobokki
|
gpt2
| 7 | 11 |
transformers
| 0 |
text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers']
| false | false | true | 863 |
13,203 |
ddobokki/klue-roberta-small-nli-sts
|
ddobokki
|
roberta
| 12 | 60 |
sentence-transformers
| 3 |
sentence-similarity
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers', 'ko']
| false | true | true | 2,633 |
13,204 |
ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko
|
ddobokki
|
vision-encoder-decoder
| 8 | 4 |
transformers
| 3 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'vision-encoder-decoder', 'transformers']
| false | false | true | 1,072 |
13,205 |
ddobokki/vit-kogpt_trinity-coco-ko
|
ddobokki
|
vision-encoder-decoder
| 7 | 8 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'vision-encoder-decoder', 'transformers']
| false | false | false | 0 |
13,206 |
ddwkim/asr-conformer-transformerlm-ksponspeech
|
ddwkim
| null | 10 | 16 |
speechbrain
| 0 | null | true | false | false |
apache-2.0
|
['kr']
|
['ksponspeech']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['kr', 'dataset:ksponspeech', 'arxiv:2106.04624', 'speechbrain', 'ASR', 'CTC', 'Attention', 'Conformer', 'pytorch', 'license:apache-2.0']
| false | true | true | 4,585 |
13,207 |
dead69/GPT-medium-hagrid
|
dead69
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,208 |
dead69/GPT-small-yoda
|
dead69
|
gpt2
| 9 | 18 |
transformers
| 0 |
conversational
| true | false | false |
mit
| null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational', 'license:mit']
| false | true | true | 1,275 |
13,209 |
dead69/GTP-medium-hagrid
|
dead69
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,210 |
debatelab/argument-analyst
|
debatelab
|
t5
| 8 | 36 |
transformers
| 1 |
text2text-generation
| true | false | false |
cc-by-sa-4.0
|
['en']
|
['debatelab/aaac']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'en', 'dataset:debatelab/aaac', 'arxiv:2110.01509', 'transformers', 'license:cc-by-sa-4.0', 'autotrain_compatible', 'has_space']
| false | true | true | 1,380 |
13,211 |
debatelab/cript-large
|
debatelab
|
gpt2
| 9 | 12 |
transformers
| 0 |
text-generation
| true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'en', 'arxiv:2009.07185', 'transformers']
| false | true | true | 462 |
13,212 |
debatelab/cript-medium
|
debatelab
|
gpt2
| 9 | 10 |
transformers
| 0 |
text-generation
| true | false | true | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'en', 'arxiv:2009.07185', 'transformers']
| false | true | true | 465 |
13,213 |
debatelab/cript
|
debatelab
|
gpt2
| 9 | 16 |
transformers
| 0 |
text-generation
| true | false | true | null |
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'en', 'arxiv:2009.07185', 'transformers']
| false | true | true | 460 |
13,214 |
debjyoti007/new_doc_classifier
|
debjyoti007
|
distilbert
| 8 | 13 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'text-classification', 'transformers']
| false | false | true | 496 |
13,215 |
dedok/F
|
dedok
| null | 3 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,216 |
dee4hf/autonlp-shajBERT-38639804
|
dee4hf
|
albert
| 8 | 16 |
transformers
| 1 |
text-classification
| true | false | false | null |
['unk']
|
['dee4hf/autonlp-data-shajBERT']
|
11.98841452241473
| 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'text-classification', 'unk', 'dataset:dee4hf/autonlp-data-shajBERT', 'transformers', 'autonlp', 'co2_eq_emissions']
| false | true | true | 1,193 |
13,217 |
dee4hf/autonlp
|
dee4hf
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,218 |
dee4hf/deeBERT
|
dee4hf
| null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | true | 36 |
13,219 |
dee4hf/overHate
|
dee4hf
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,220 |
deep-learning-analytics/GrammarCorrector
|
deep-learning-analytics
|
t5
| 9 | 3,507 |
transformers
| 6 |
text2text-generation
| true | true | false | null | null | null | null | 1 | 1 | 0 | 0 | 2 | 1 | 1 |
['pytorch', 'tf', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | true | 1,357 |
13,221 |
deep-learning-analytics/automatic-title-generation
|
deep-learning-analytics
|
t5
| 7 | 1,108 |
transformers
| 7 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | false | 0 |
13,222 |
deep-learning-analytics/segformer_semantic_segmentation
|
deep-learning-analytics
|
segformer
| 3 | 159 |
transformers
| 1 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'segformer', 'transformers', 'has_space']
| false | false | false | 0 |
13,223 |
deep-learning-analytics/triviaqa-t5-base
|
deep-learning-analytics
|
t5
| 7 | 170 |
transformers
| 2 |
question-answering
| true | false | false | null |
['eng']
|
['triviaqa']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'eng', 'dataset:triviaqa', 'transformers', 'triviaqa', 't5-base', 'lm-head', 'question-answering', 'closed-book', 'pipeline:question-answering', 'autotrain_compatible']
| false | true | true | 1,649 |
13,224 |
deep-learning-analytics/wikihow-t5-small
|
deep-learning-analytics
|
t5
| 7 | 451 |
transformers
| 3 |
summarization
| true | false | false | null |
['eng']
|
['Wikihow']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'eng', 'dataset:Wikihow', 'transformers', 'wikihow', 't5-small', 'lm-head', 'seq2seq', 'pipeline:summarization', 'summarization', 'autotrain_compatible', 'has_space']
| false | true | true | 3,184 |
13,225 |
deepakgupta/bert-stsb
|
deepakgupta
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,226 |
deepakvk/distilbert-base-uncased-distilled-squad-finetuned-squad
|
deepakvk
|
distilbert
| 10 | 8 |
transformers
| 0 |
question-answering
| true | false | false |
apache-2.0
| null |
['squad_v2']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'question-answering', 'dataset:squad_v2', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'autotrain_compatible']
| true | true | true | 982 |
13,227 |
deepakvk/roberta-base-finetuned-squad
|
deepakvk
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,228 |
deepakvk/tinyroberta-squad2-finetuned-squad
|
deepakvk
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,229 |
deepampatel/roberta-mlm-marathi
|
deepampatel
|
roberta
| 11 | 8 |
transformers
| 0 |
fill-mask
| true | false | true | null |
['mr']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'mr', 'transformers', 'autotrain_compatible']
| false | true | true | 1,638 |
13,230 |
deepanshudey/dbms
|
deepanshudey
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,231 |
deepdml/output
|
deepdml
|
wav2vec2
| 15 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false | null |
['ab']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'ab', 'dataset:common_voice', 'transformers', 'mozilla-foundation/common_voice_7_0', 'generated_from_trainer']
| true | true | true | 1,088 |
13,232 |
deepdml/wav2vec2-base-timit-demo-colab
|
deepdml
|
wav2vec2
| 10 | 10 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'transformers', 'generated_from_trainer', 'license:apache-2.0']
| true | true | true | 1,640 |
13,233 |
deepdml/wav2vec2-large-xls-r-300m-basque
|
deepdml
|
wav2vec2
| 22 | 6 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['eu']
|
['mozilla-foundation/common_voice_7_0']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'eu', 'dataset:mozilla-foundation/common_voice_7_0', 'transformers', 'basque', 'generated_from_trainer', 'hf-asr-leaderboard', 'robust-speech-event', 'license:apache-2.0', 'model-index']
| true | true | true | 1,481 |
13,234 |
deepdoctection/d2_casc_rcnn_X_32xd4_50_FPN_GN_2FC_publaynet_inference_only
|
deepdoctection
| null | 7 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['Publaynet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:Publaynet', 'arxiv:1908.07836', 'Pytorch', 'license:apache-2.0']
| false | true | true | 1,604 |
13,235 |
deepdoctection/d2_casc_rcnn_X_32xd4_50_FPN_GN_2FC_pubtabnet_c_inference_only
|
deepdoctection
| null | 7 | 0 | null | 1 | null | false | false | false |
apache-2.0
| null |
['Pubtabnet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:Pubtabnet', 'arxiv:1911.10683', 'Pytorch', 'license:apache-2.0']
| false | true | true | 1,770 |
13,236 |
deepdoctection/d2_casc_rcnn_X_32xd4_50_FPN_GN_2FC_pubtabnet_rc_inference_only
|
deepdoctection
| null | 7 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['Pubtabnet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:Pubtabnet', 'arxiv:1911.10683', 'Pytorch', 'license:apache-2.0']
| false | true | true | 1,837 |
13,237 |
deepdoctection/tp_casc_rcnn_X_32xd4_50_FPN_GN_2FC_publaynet
|
deepdoctection
| null | 5 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['Publaynet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:Publaynet', 'arxiv:1908.07836', 'Tensorflow', 'license:apache-2.0']
| false | true | true | 2,512 |
13,238 |
deepdoctection/tp_casc_rcnn_X_32xd4_50_FPN_GN_2FC_publaynet_inference_only
|
deepdoctection
| null | 5 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['Publaynet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:Publaynet', 'arxiv:1908.07836', 'Tensorflow', 'license:apache-2.0']
| false | true | true | 2,629 |
13,239 |
deepdoctection/tp_casc_rcnn_X_32xd4_50_FPN_GN_2FC_pubtabnet_c
|
deepdoctection
| null | 5 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['Pubtabnet']
| null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['dataset:Pubtabnet', 'arxiv:1911.10683', 'Tensorflow', 'license:apache-2.0']
| false | true | true | 2,799 |
13,240 |
deepdoctection/tp_casc_rcnn_X_32xd4_50_FPN_GN_2FC_pubtabnet_c_inference_only
|
deepdoctection
| null | 5 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['Pubtabnet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:Pubtabnet', 'arxiv:1911.10683', 'Tensorflow', 'license:apache-2.0']
| false | true | true | 3,119 |
13,241 |
deepdoctection/tp_casc_rcnn_X_32xd4_50_FPN_GN_2FC_pubtabnet_rc
|
deepdoctection
| null | 5 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['Pubtabnet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:Pubtabnet', 'arxiv:1911.10683', 'Tensorflow', 'license:apache-2.0']
| false | true | true | 2,950 |
13,242 |
deepdoctection/tp_casc_rcnn_X_32xd4_50_FPN_GN_2FC_pubtabnet_rc_inference_only
|
deepdoctection
| null | 5 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['Pubtabnet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:Pubtabnet', 'arxiv:1911.10683', 'Tensorflow', 'license:apache-2.0']
| false | true | true | 3,030 |
13,243 |
deepklarity/poster2plot
|
deepklarity
|
vision-encoder-decoder
| 5 | 24 |
transformers
| 3 |
image-classification
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'vision-encoder-decoder', 'en', 'transformers', 'image-classification', 'image-captioning', 'has_space']
| false | true | true | 2,386 |
13,244 |
deepklarity/roberta-base-hindi
|
deepklarity
| null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | true | 48 |
13,245 |
deepmind/language-perceiver
|
deepmind
|
perceiver
| 6 | 514 |
transformers
| 13 |
fill-mask
| true | false | false |
apache-2.0
|
['en']
|
['wikipedia', 'c4']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'perceiver', 'fill-mask', 'en', 'dataset:wikipedia', 'dataset:c4', 'arxiv:1810.04805', 'arxiv:2107.14795', 'arxiv:2004.03720', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 5,673 |
13,246 |
deepmind/multimodal-perceiver
|
deepmind
|
perceiver
| 4 | 395 |
transformers
| 10 | null | true | false | false |
apache-2.0
| null |
['kinetics-700-2020']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'perceiver', 'dataset:kinetics-700-2020', 'arxiv:2010.10864', 'arxiv:2107.14795', 'transformers', 'license:apache-2.0']
| false | true | true | 4,574 |
13,247 |
deepmind/optical-flow-perceiver
|
deepmind
|
perceiver
| 4 | 55,022 |
transformers
| 8 | null | true | false | false |
apache-2.0
| null |
['autoflow']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'perceiver', 'dataset:autoflow', 'arxiv:2107.14795', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 4,701 |
13,248 |
deepmind/vision-perceiver-conv
|
deepmind
|
perceiver
| 5 | 820 |
transformers
| 4 |
image-classification
| true | false | false |
apache-2.0
| null |
['imagenet']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'perceiver', 'image-classification', 'dataset:imagenet', 'arxiv:2107.14795', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 4,934 |
13,249 |
deepmind/vision-perceiver-fourier
|
deepmind
|
perceiver
| 5 | 442 |
transformers
| 2 |
image-classification
| true | false | false |
apache-2.0
| null |
['imagenet']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'perceiver', 'image-classification', 'dataset:imagenet', 'arxiv:2107.14795', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 4,958 |
13,250 |
deepmind/vision-perceiver-learned
|
deepmind
|
perceiver
| 5 | 435 |
transformers
| 8 |
image-classification
| true | false | false |
apache-2.0
| null |
['imagenet']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'perceiver', 'image-classification', 'dataset:imagenet', 'arxiv:2107.14795', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 5,025 |
13,251 |
deepparag/Aeona
|
deepparag
|
gpt2
| 11 | 790 |
transformers
| 19 |
conversational
| true | false | false |
mit
| null |
['blended_skill_talk']
| null | 3 | 0 | 3 | 0 | 2 | 2 | 0 |
['pytorch', 'safetensors', 'gpt2', 'text-generation', 'dataset:blended_skill_talk', 'transformers', 'conversational', 'license:mit', 'has_space']
| false | true | true | 4,285 |
13,252 |
deepparag/DumBot-Beta
|
deepparag
|
gpt_neo
| 9 | 14 |
transformers
| 0 |
conversational
| true | false | false |
mit
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt_neo', 'text-generation', 'transformers', 'conversational', 'license:mit']
| false | true | true | 2,081 |
13,253 |
deepparag/DumBot
|
deepparag
|
gpt2
| 11 | 34 |
transformers
| 2 |
conversational
| true | false | false |
mit
| null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational', 'license:mit']
| false | true | true | 1,539 |
13,254 |
deepset/bert-base-cased-squad2
|
deepset
|
bert
| 10 | 69,258 |
transformers
| 15 |
question-answering
| true | false | true |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 4 | 0 | 3 | 1 | 1 | 0 | 1 |
['pytorch', 'jax', 'safetensors', 'bert', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 52 |
13,255 |
deepset/bert-base-german-cased-hatespeech-GermEval18Coarse
|
deepset
|
bert
| 10 | 119 |
transformers
| 6 |
text-classification
| true | false | true |
cc-by-4.0
| null | null | null | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'text-classification', 'transformers', 'license:cc-by-4.0']
| false | true | true | 126 |
13,256 |
deepset/bert-base-german-cased-oldvocab
|
deepset
|
bert
| 7 | 14 |
transformers
| 3 |
fill-mask
| true | false | true |
mit
|
['de']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'fill-mask', 'de', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible']
| false | true | true | 1,172 |
13,257 |
deepset/bert-base-german-cased-sentiment-Germeval17
|
deepset
|
bert
| 8 | 119 |
transformers
| 3 |
text-classification
| true | false | true | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'text-classification', 'transformers']
| false | false | false | 0 |
13,258 |
deepset/bert-base-uncased-squad2
|
deepset
|
bert
| 9 | 790 |
transformers
| 2 |
question-answering
| true | false | false |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 6 | 0 | 3 | 3 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 1,626 |
13,259 |
deepset/bert-large-uncased-whole-word-masking-squad2
|
deepset
|
bert
| 10 | 194,475 |
transformers
| 22 |
question-answering
| true | false | true |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 7 | 3 | 3 | 1 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 3,425 |
13,260 |
deepset/bert-medium-squad2-distilled
|
deepset
|
bert
| 9 | 3,292 |
transformers
| 2 |
question-answering
| true | false | false |
mit
|
['en']
|
['squad_v2']
| null | 4 | 0 | 3 | 1 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'exbert', 'license:mit', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 1,757 |
13,261 |
deepset/bert-small-mm_retrieval-passage_encoder
|
deepset
|
dpr
| 7 | 2,794 |
transformers
| 0 | null | true | false | false | null | null | null | null | 2 | 1 | 0 | 1 | 0 | 0 | 0 |
['pytorch', 'dpr', 'transformers']
| false | false | false | 0 |
13,262 |
deepset/bert-small-mm_retrieval-question_encoder
|
deepset
|
dpr
| 8 | 2,922 |
transformers
| 1 |
feature-extraction
| true | false | false | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'dpr', 'feature-extraction', 'transformers']
| false | false | false | 0 |
13,263 |
deepset/bert-small-mm_retrieval-table_encoder
|
deepset
|
dpr
| 7 | 2,796 |
transformers
| 0 | null | true | false | false | null | null | null | null | 2 | 1 | 0 | 1 | 0 | 0 | 0 |
['pytorch', 'dpr', 'transformers']
| false | false | false | 0 |
13,264 |
deepset/covid_bert_base
|
deepset
|
bert
| 9 | 22 |
transformers
| 6 |
fill-mask
| true | false | true | null | null | null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
13,265 |
deepset/electra-base-squad2
|
deepset
|
electra
| 7 | 2,625 |
transformers
| 9 |
question-answering
| true | false | false |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 6 | 2 | 2 | 2 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 4,004 |
13,266 |
deepset/gbert-base-germandpr-ctx_encoder
|
deepset
|
dpr
| 7 | 743 |
transformers
| 5 | null | true | false | false |
mit
|
['de']
|
['deepset/germandpr']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dpr', 'de', 'dataset:deepset/germandpr', 'transformers', 'exbert', 'license:mit']
| false | true | true | 3,804 |
13,267 |
deepset/gbert-base-germandpr-question_encoder
|
deepset
|
dpr
| 8 | 883 |
transformers
| 5 |
feature-extraction
| true | false | false |
mit
|
['de']
|
['deepset/germandpr']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'dpr', 'feature-extraction', 'de', 'dataset:deepset/germandpr', 'transformers', 'exbert', 'license:mit']
| false | true | true | 3,804 |
13,268 |
deepset/gbert-base-germandpr-reranking
|
deepset
|
bert
| 9 | 15,048 |
transformers
| 3 |
text-classification
| true | false | false |
mit
|
['de']
|
['deepset/germandpr']
| null | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'de', 'dataset:deepset/germandpr', 'transformers', 'license:mit']
| false | true | true | 3,157 |
13,269 |
deepset/gbert-base
|
deepset
| null | 9 | 63,777 |
transformers
| 26 |
fill-mask
| true | true | false |
mit
|
['de']
|
['wikipedia', 'OPUS', 'OpenLegalData']
| null | 1 | 0 | 1 | 0 | 2 | 2 | 0 |
['pytorch', 'tf', 'safetensors', 'fill-mask', 'de', 'dataset:wikipedia', 'dataset:OPUS', 'dataset:OpenLegalData', 'arxiv:2010.10906', 'transformers', 'license:mit', 'autotrain_compatible', 'has_space']
| false | true | true | 1,804 |
13,270 |
deepset/gbert-large-sts
|
deepset
|
bert
| 8 | 59 |
transformers
| 4 |
text-classification
| true | false | false |
mit
|
['de']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'de', 'transformers', 'exbert', 'license:mit']
| false | true | true | 1,758 |
13,271 |
deepset/gbert-large
|
deepset
| null | 9 | 32,154 |
transformers
| 29 |
fill-mask
| true | true | false |
mit
|
['de']
|
['wikipedia', 'OPUS', 'OpenLegalData', 'oscar']
| null | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'safetensors', 'fill-mask', 'de', 'dataset:wikipedia', 'dataset:OPUS', 'dataset:OpenLegalData', 'dataset:oscar', 'arxiv:2010.10906', 'transformers', 'license:mit', 'autotrain_compatible', 'has_space']
| false | true | true | 2,787 |
13,272 |
deepset/gelectra-base-generator
|
deepset
|
electra
| 8 | 28 |
transformers
| 3 |
fill-mask
| true | true | false |
mit
|
['de']
|
['wikipedia', 'OPUS', 'OpenLegalData']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'safetensors', 'electra', 'fill-mask', 'de', 'dataset:wikipedia', 'dataset:OPUS', 'dataset:OpenLegalData', 'arxiv:2010.10906', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 1,934 |
13,273 |
deepset/gelectra-base-germanquad-distilled
|
deepset
|
electra
| 9 | 2,150 |
transformers
| 3 |
question-answering
| true | false | false |
mit
|
['de']
|
['deepset/germanquad']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'electra', 'question-answering', 'de', 'dataset:deepset/germanquad', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible']
| false | true | true | 3,035 |
13,274 |
deepset/gelectra-base-germanquad
|
deepset
|
electra
| 10 | 2,727 |
transformers
| 17 |
question-answering
| true | true | false |
mit
|
['de']
|
['deepset/germanquad']
| null | 2 | 1 | 1 | 0 | 1 | 0 | 1 |
['pytorch', 'tf', 'safetensors', 'electra', 'question-answering', 'de', 'dataset:deepset/germanquad', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible']
| false | true | true | 3,697 |
13,275 |
deepset/gelectra-base
|
deepset
|
electra
| 8 | 1,168 |
transformers
| 9 | null | true | true | false |
mit
|
['de']
|
['wikipedia', 'OPUS', 'OpenLegalData']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'electra', 'pretraining', 'de', 'dataset:wikipedia', 'dataset:OPUS', 'dataset:OpenLegalData', 'arxiv:2010.10906', 'transformers', 'license:mit', 'has_space']
| false | true | true | 1,923 |
13,276 |
deepset/gelectra-large-generator
|
deepset
|
electra
| 8 | 116 |
transformers
| 2 |
fill-mask
| true | true | false |
mit
|
['de']
|
['wikipedia', 'OPUS', 'OpenLegalData', 'oscar']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'safetensors', 'electra', 'fill-mask', 'de', 'dataset:wikipedia', 'dataset:OPUS', 'dataset:OpenLegalData', 'dataset:oscar', 'arxiv:2010.10906', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 2,040 |
13,277 |
deepset/gelectra-large-germanquad
|
deepset
|
electra
| 8 | 3,631 |
transformers
| 18 |
question-answering
| true | true | false |
mit
|
['de']
|
['deepset/germanquad']
| null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'electra', 'question-answering', 'de', 'dataset:deepset/germanquad', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible', 'has_space']
| false | true | true | 3,707 |
13,278 |
deepset/gelectra-large
|
deepset
|
electra
| 8 | 1,248 |
transformers
| 14 | null | true | true | false |
mit
|
['de']
|
['wikipedia', 'OPUS', 'OpenLegalData', 'oscar']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'electra', 'pretraining', 'de', 'dataset:wikipedia', 'dataset:OPUS', 'dataset:OpenLegalData', 'dataset:oscar', 'arxiv:2010.10906', 'transformers', 'license:mit', 'has_space']
| false | true | true | 1,855 |
13,279 |
deepset/minilm-uncased-squad2
|
deepset
|
bert
| 9 | 47,643 |
transformers
| 36 |
question-answering
| true | false | true |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 6 | 2 | 3 | 1 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 4,163 |
13,280 |
deepset/quora_dedup_bert_base
|
deepset
|
bert
| 12 | 12 |
transformers
| 3 |
feature-extraction
| true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'feature-extraction', 'transformers', 'license:apache-2.0']
| false | true | true | 8,718 |
13,281 |
deepset/roberta-base-squad2-covid
|
deepset
|
roberta
| 9 | 85,911 |
transformers
| 5 |
question-answering
| true | false | true |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 3 | 2 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'autotrain_compatible', 'has_space']
| false | true | true | 4,399 |
13,282 |
deepset/roberta-base-squad2-distilled
|
deepset
|
roberta
| 10 | 14,441 |
transformers
| 5 |
question-answering
| true | false | false |
mit
|
['en']
|
['squad_v2']
| null | 5 | 1 | 3 | 1 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'exbert', 'license:mit', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 2,678 |
13,283 |
deepset/roberta-base-squad2
|
deepset
|
roberta
| 12 | 1,832,635 |
transformers
| 348 |
question-answering
| true | true | true |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 9 | 2 | 5 | 2 | 4 | 3 | 1 |
['pytorch', 'tf', 'jax', 'rust', 'safetensors', 'roberta', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 4,875 |
13,284 |
deepset/roberta-large-squad2-hp
|
deepset
|
roberta
| 8 | 33 |
transformers
| 3 |
question-answering
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
13,285 |
deepset/roberta-large-squad2
|
deepset
|
roberta
| 10 | 188,488 |
transformers
| 14 |
question-answering
| true | false | true |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 2 | 0 | 1 | 1 | 1 | 1 | 0 |
['pytorch', 'jax', 'safetensors', 'roberta', 'question-answering', 'en', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'autotrain_compatible', 'has_space']
| false | true | false | 0 |
13,286 |
deepset/sentence_bert
|
deepset
|
bert
| 9 | 1,876,785 |
transformers
| 17 | null | true | false | true |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'transformers', 'license:apache-2.0']
| false | true | true | 160 |
13,287 |
deepset/tapas-large-nq-hn-reader
|
deepset
|
tapas
| 7 | 286 |
transformers
| 1 | null | true | false | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tapas', 'en', 'transformers', 'license:apache-2.0', 'has_space']
| false | true | true | 1,029 |
13,288 |
deepset/tapas-large-nq-reader
|
deepset
|
tapas
| 7 | 4 |
transformers
| 1 | null | true | false | false |
apache-2.0
|
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tapas', 'en', 'transformers', 'license:apache-2.0']
| false | true | true | 1,025 |
13,289 |
deepset/tinybert-6l-768d-squad2
|
deepset
|
bert
| 9 | 35 |
transformers
| 1 |
question-answering
| true | false | false |
mit
|
['en']
|
['squad_v2']
| null | 5 | 1 | 3 | 1 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'question-answering', 'en', 'dataset:squad_v2', 'arxiv:1909.10351', 'transformers', 'exbert', 'license:mit', 'model-index', 'autotrain_compatible']
| true | true | true | 2,183 |
13,290 |
deepset/tinyroberta-6l-768d
|
deepset
|
roberta
| 10 | 19 |
transformers
| 1 |
question-answering
| true | false | false |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 2 | 0 | 1 | 1 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'question-answering', 'en', 'dataset:squad_v2', 'arxiv:1909.10351', 'transformers', 'license:cc-by-4.0', 'autotrain_compatible']
| false | true | true | 3,402 |
13,291 |
deepset/tinyroberta-squad2-step1
|
deepset
|
roberta
| 8 | 54 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
13,292 |
deepset/tinyroberta-squad2
|
deepset
|
roberta
| 10 | 1,070,974 |
transformers
| 42 |
question-answering
| true | false | false |
cc-by-4.0
|
['en']
|
['squad_v2']
| null | 4 | 0 | 3 | 1 | 1 | 1 | 0 |
['pytorch', 'safetensors', 'roberta', 'question-answering', 'en', 'dataset:squad_v2', 'arxiv:1909.10351', 'transformers', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 5,206 |
13,293 |
deepset/xlm-roberta-base-squad2-distilled
|
deepset
|
xlm-roberta
| 9 | 1,209 |
transformers
| 5 |
question-answering
| true | false | false |
mit
|
['multilingual']
|
['squad_v2']
| null | 4 | 2 | 1 | 1 | 1 | 1 | 0 |
['pytorch', 'safetensors', 'xlm-roberta', 'question-answering', 'multilingual', 'dataset:squad_v2', 'transformers', 'exbert', 'license:mit', 'autotrain_compatible', 'has_space']
| false | true | true | 4,241 |
13,294 |
deepset/xlm-roberta-base-squad2
|
deepset
|
xlm-roberta
| 7 | 1,128 |
transformers
| 20 |
question-answering
| true | false | false |
cc-by-4.0
| null |
['squad_v2']
| null | 4 | 1 | 2 | 1 | 1 | 1 | 0 |
['pytorch', 'xlm-roberta', 'question-answering', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 4,217 |
13,295 |
deepset/xlm-roberta-large-squad2
|
deepset
|
xlm-roberta
| 8 | 2,889 |
transformers
| 41 |
question-answering
| true | false | false |
cc-by-4.0
|
['multilingual']
|
['squad_v2']
| null | 5 | 0 | 3 | 2 | 1 | 1 | 0 |
['pytorch', 'safetensors', 'xlm-roberta', 'question-answering', 'multilingual', 'dataset:squad_v2', 'transformers', 'license:cc-by-4.0', 'model-index', 'autotrain_compatible', 'has_space']
| true | true | true | 4,523 |
13,296 |
deepshikharbhardwaj/model_name
|
deepshikharbhardwaj
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
13,297 |
baikal-nlp/dbert-eth2
|
baikal-nlp
|
bert
| 6 | 9 |
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 |
13,298 |
baikal-nlp/dbert-ner
|
baikal-nlp
|
bert
| 6 | 8 |
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 |
13,299 |
baikal-nlp/dbert-sentiment
|
baikal-nlp
|
bert
| 7 | 11 |
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 | true | 343 |
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