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|
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12,200 |
castorini/afriberta_base
|
castorini
|
xlm-roberta
| 8 | 27 |
transformers
| 0 |
fill-mask
| true | true | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'xlm-roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | true | 2,640 |
12,201 |
castorini/afriberta_large
|
castorini
|
xlm-roberta
| 8 | 283 |
transformers
| 4 |
fill-mask
| true | true | false |
mit
|
['om', 'am', 'rw', 'rn', 'ha', 'ig', 'so', 'sw', 'ti', 'yo', 'pcm', 'multilingual']
|
['castorini/afriberta-corpus']
| null | 3 | 1 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'xlm-roberta', 'fill-mask', 'om', 'am', 'rw', 'rn', 'ha', 'ig', 'so', 'sw', 'ti', 'yo', 'pcm', 'multilingual', 'dataset:castorini/afriberta-corpus', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 2,533 |
12,202 |
castorini/afriberta_small
|
castorini
|
xlm-roberta
| 8 | 30 |
transformers
| 0 |
fill-mask
| true | true | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'xlm-roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | true | 2,651 |
12,203 |
castorini/ance-dpr-context-multi
|
castorini
|
dpr
| 7 | 4 |
transformers
| 1 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dpr', 'arxiv:2007.00808', 'transformers']
| false | false | true | 497 |
12,204 |
castorini/ance-dpr-question-multi
|
castorini
|
dpr
| 7 | 343 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dpr', 'feature-extraction', 'arxiv:2007.00808', 'transformers']
| false | false | true | 495 |
12,205 |
castorini/ance-msmarco-doc-firstp
|
castorini
|
roberta
| 8 | 6 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'arxiv:2007.00808', 'transformers']
| false | false | true | 495 |
12,206 |
castorini/ance-msmarco-doc-maxp
|
castorini
|
roberta
| 8 | 12 |
transformers
| 1 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'arxiv:2007.00808', 'transformers']
| false | false | true | 495 |
12,207 |
castorini/ance-msmarco-passage
|
castorini
|
roberta
| 8 | 1,179 |
transformers
| 0 | null | true | false | false | null |
['en']
| null | null | 2 | 0 | 1 | 1 | 0 | 0 | 0 |
['pytorch', 'roberta', 'en', 'arxiv:1910.09700', 'transformers']
| false | true | true | 4,251 |
12,208 |
castorini/azbert-base
|
castorini
|
bert
| 16 | 9 |
transformers
| 0 |
fill-mask
| true | false | false |
mit
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'bert', 'pretraining', 'en', 'transformers', 'azbert', 'fill-mask', 'license:mit']
| false | true | true | 1,813 |
12,209 |
castorini/bpr-nq-ctx-encoder
|
castorini
|
dpr
| 7 | 4 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dpr', 'transformers']
| false | false | true | 270 |
12,210 |
castorini/bpr-nq-question-encoder
|
castorini
|
dpr
| 7 | 8 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dpr', 'feature-extraction', 'transformers']
| false | false | true | 270 |
12,211 |
castorini/dkrr-dpr-nq-retriever
|
castorini
|
bert
| 4 | 22 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'arxiv:2012.04584', 'transformers']
| false | false | true | 397 |
12,212 |
castorini/dkrr-dpr-tqa-retriever
|
castorini
|
bert
| 4 | 3 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'arxiv:2012.04584', 'transformers']
| false | false | true | 397 |
12,213 |
castorini/doc2query-t5-base-msmarco
|
castorini
|
t5
| 9 | 982 |
transformers
| 11 |
text2text-generation
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | true | 63 |
12,214 |
castorini/doc2query-t5-large-msmarco
|
castorini
|
t5
| 8 | 385 |
transformers
| 0 |
text2text-generation
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | true | 63 |
12,215 |
castorini/duot5-3b-med-msmarco
|
castorini
|
t5
| 8 | 9 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'feature-extraction', 'arxiv:2101.05667', 'transformers']
| false | false | true | 504 |
12,216 |
castorini/duot5-3b-msmarco
|
castorini
|
t5
| 8 | 56 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'feature-extraction', 'arxiv:2101.05667', 'transformers']
| false | false | true | 491 |
12,217 |
castorini/duot5-base-msmarco-10k
|
castorini
|
t5
| 6 | 24 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,218 |
castorini/duot5-base-msmarco
|
castorini
|
t5
| 8 | 314 |
transformers
| 0 |
text2text-generation
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'arxiv:2101.05667', 'transformers', 'autotrain_compatible']
| false | false | true | 344 |
12,219 |
castorini/mdpr-tied-pft-msmarco
|
castorini
|
bert
| 6 | 486 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | false | 0 |
12,220 |
castorini/mdpr-passage-nq
|
castorini
|
dpr
| 6 | 16 |
transformers
| 1 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dpr', 'transformers']
| false | false | false | 0 |
12,221 |
castorini/mdpr-question-nq
|
castorini
|
dpr
| 6 | 40 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'dpr', 'feature-extraction', 'transformers']
| false | false | false | 0 |
12,222 |
castorini/monobert-large-msmarco-finetune-only
|
castorini
|
bert
| 8 | 32 |
transformers
| 0 |
text-classification
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'text-classification', 'transformers']
| false | false | true | 455 |
12,223 |
castorini/monobert-large-msmarco
|
castorini
| null | 7 | 745 |
transformers
| 2 | null | true | false | false | null | null | null | null | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
['pytorch', 'transformers']
| false | false | false | 0 |
12,224 |
castorini/monot5-3b-med-msmarco
|
castorini
|
t5
| 7 | 11 |
transformers
| 2 |
feature-extraction
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'feature-extraction', 'transformers']
| false | false | true | 455 |
12,225 |
castorini/monot5-3b-msmarco
|
castorini
|
t5
| 7 | 38 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 't5', 'feature-extraction', 'transformers']
| false | false | true | 324 |
12,226 |
castorini/monot5-base-med-msmarco
|
castorini
|
t5
| 8 | 25 |
transformers
| 1 |
feature-extraction
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'feature-extraction', 'transformers']
| false | false | true | 455 |
12,227 |
castorini/monot5-base-msmarco-10k
|
castorini
|
t5
| 8 | 23,399 |
transformers
| 9 |
text2text-generation
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | true | 803 |
12,228 |
castorini/monot5-base-msmarco
|
castorini
|
t5
| 8 | 1,674 |
transformers
| 4 |
text2text-generation
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | true | 788 |
12,229 |
castorini/monot5-large-msmarco-10k
|
castorini
|
t5
| 8 | 87 |
transformers
| 0 |
text2text-generation
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | true | 805 |
12,230 |
castorini/monot5-large-msmarco
|
castorini
|
t5
| 8 | 392 |
transformers
| 0 |
feature-extraction
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 't5', 'feature-extraction', 'transformers']
| false | false | true | 662 |
12,231 |
castorini/t5-base-canard
|
castorini
|
t5
| 8 | 439 |
transformers
| 0 |
text2text-generation
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 1 | 0 | 1 |
['pytorch', 'jax', 't5', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | true | 565 |
12,232 |
castorini/tct_colbert-msmarco
|
castorini
| null | 5 | 2,727 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'arxiv:2010.11386', 'transformers']
| false | false | true | 446 |
12,233 |
castorini/tct_colbert-v2-hn-msmarco
|
castorini
|
bert
| 7 | 8 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | true | 498 |
12,234 |
castorini/tct_colbert-v2-hnp-msmarco-r2
|
castorini
|
bert
| 8 | 8 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | true | 923 |
12,235 |
castorini/tct_colbert-v2-hnp-msmarco
|
castorini
|
bert
| 7 | 2,530 |
transformers
| 3 |
feature-extraction
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | true | 498 |
12,236 |
castorini/tct_colbert-v2-msmarco-cqe
|
castorini
|
bert
| 5 | 56 |
transformers
| 2 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | true | 738 |
12,237 |
castorini/tct_colbert-v2-msmarco
|
castorini
|
bert
| 7 | 3,157 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | true | 498 |
12,238 |
castorini/unicoil-msmarco-passage
|
castorini
|
bert
| 6 | 2,519 |
transformers
| 2 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | false | 0 |
12,239 |
castorini/unicoil-noexp-msmarco-passage
|
castorini
|
bert
| 6 | 1,862 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'feature-extraction', 'transformers']
| false | false | false | 0 |
12,240 |
catalina-melo/distilBERT-severity-rating
|
catalina-melo
|
distilbert
| 7 | 3 |
transformers
| 0 |
text-classification
| false | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['tf', 'distilbert', 'text-classification', 'transformers']
| false | false | false | 0 |
12,241 |
catalina-melo/distilbert-base-uncased-finetuned-cola
|
catalina-melo
|
distilbert
| 7 | 3 |
transformers
| 0 |
text-classification
| false | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['tf', 'distilbert', 'text-classification', 'transformers']
| false | false | false | 0 |
12,242 |
cataremix15/distilbert-tiln-proj
|
cataremix15
|
distilbert
| 7 | 10 |
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 | false | 0 |
12,243 |
catharina/arcane
|
catharina
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,244 |
cathyccc/112
|
cathyccc
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,245 |
cathyhou/roberta-base-finetuned-cola
|
cathyhou
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,246 |
catlovehotpot/bert-base-uncased-finetuned-swag
|
catlovehotpot
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,247 |
catluvr/v
|
catluvr
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,248 |
potaycat/vinanews-gpt2-kinda
|
potaycat
|
gpt2
| 6 | 10 |
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 |
12,249 |
cb-insights-team/news_ner
|
cb-insights-team
| null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | true | 67 |
12,250 |
cbakos/bert-base-uncased-finetuned-ner
|
cbakos
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,251 |
cbrew475/mpnet-metric
|
cbrew475
|
mpnet
| 96 | 8 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mpnet', 'text-classification', 'transformers']
| false | false | false | 0 |
12,252 |
cc4/bert-tok
|
cc4
| null | 6 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,253 |
cc4/my-new-shiny-tokenizer-2
|
cc4
| null | 6 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,254 |
cc4/my-new-shiny-tokenizer-3
|
cc4
| null | 6 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,255 |
cc4/my-new-shiny-tokenizer
|
cc4
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,256 |
ccdv/lsg-legal-base-uncased-4096
|
ccdv
|
bert
| 10 | 42 |
transformers
| 2 |
fill-mask
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'pretraining', 'custom_code', 'en', 'arxiv:2210.15497', 'transformers', 'long context', 'legal', 'fill-mask', 'has_space']
| false | true | true | 6,323 |
12,257 |
ccdv/lsg-legal-small-uncased-4096
|
ccdv
|
bert
| 10 | 5 |
transformers
| 0 |
fill-mask
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'pretraining', 'custom_code', 'en', 'arxiv:2210.15497', 'transformers', 'long context', 'legal', 'fill-mask']
| false | true | true | 6,354 |
12,258 |
ccdv/lsg-bart-base-4096
|
ccdv
|
bart
| 11 | 449 |
transformers
| 1 |
fill-mask
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'bart', 'text2text-generation', 'custom_code', 'en', 'arxiv:2210.15497', 'arxiv:1910.13461', 'transformers', 'summarization', 'long context', 'fill-mask', 'autotrain_compatible']
| false | true | true | 5,853 |
12,259 |
ccdv/lsg-bart-large-4096
|
ccdv
|
bart
| 11 | 38 |
transformers
| 0 |
fill-mask
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text2text-generation', 'custom_code', 'en', 'arxiv:2210.15497', 'arxiv:1910.13461', 'transformers', 'summarization', 'long context', 'fill-mask', 'autotrain_compatible']
| false | true | true | 5,865 |
12,260 |
ccdv/lsg-barthez-4096
|
ccdv
|
mbart
| 10 | 41 |
transformers
| 0 |
fill-mask
| true | false | false | null |
['fr']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mbart', 'text2text-generation', 'custom_code', 'fr', 'arxiv:2210.15497', 'transformers', 'summarization', 'bart', 'long context', 'fill-mask', 'autotrain_compatible']
| false | true | true | 5,410 |
12,261 |
ccdv/lsg-camembert-base-4096
|
ccdv
|
camembert
| 10 | 15 |
transformers
| 2 |
fill-mask
| true | false | false | null |
['fr']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'camembert', 'fill-mask', 'custom_code', 'fr', 'arxiv:2210.15497', 'transformers', 'long context', 'autotrain_compatible']
| false | true | true | 6,151 |
12,262 |
ccdv/lsg-base-4096
|
ccdv
|
roberta
| 11 | 11 |
transformers
| 1 |
fill-mask
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'custom_code', 'en', 'arxiv:2210.15497', 'transformers', 'long context', 'autotrain_compatible']
| false | true | true | 5,615 |
12,263 |
ccdv/lsg-pegasus-large-4096
|
ccdv
|
pegasus
| 10 | 45 |
transformers
| 0 |
fill-mask
| true | false | false | null |
['en']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'pegasus', 'text2text-generation', 'custom_code', 'en', 'arxiv:2210.15497', 'arxiv:1912.08777', 'transformers', 'summarization', 'long context', 'fill-mask', 'autotrain_compatible']
| false | true | true | 5,268 |
12,264 |
ccoreilly/wav2vec2-large-100k-voxpopuli-catala
|
ccoreilly
|
wav2vec2
| 10 | 52 |
transformers
| 1 |
automatic-speech-recognition
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'ca', 'dataset:common_voice', 'dataset:parlament_parla', 'transformers', 'audio', 'speech', 'speech-to-text', 'license:apache-2.0', 'model-index']
| false | false | false | 0 |
12,265 |
ccoreilly/wav2vec2-large-xlsr-catala
|
ccoreilly
|
wav2vec2
| 10 | 18 |
transformers
| 0 |
automatic-speech-recognition
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'ca', 'dataset:common_voice', 'dataset:parlament_parla', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| false | false | false | 0 |
12,266 |
cd-dvd/testmodel2
|
cd-dvd
|
gpt_neo
| 9 | 10 |
transformers
| 0 |
text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt_neo', 'text-generation', 'transformers', 'Text Generation']
| false | true | true | 104 |
12,267 |
cdiamana/distilbert-base-uncased-finetuned-squad
|
cdiamana
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,268 |
cdwyer1bod/first_model
|
cdwyer1bod
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,269 |
cecilia/q
|
cecilia
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,270 |
cedpsam/chatbot_fr
|
cedpsam
|
gpt2
| 9 | 610 |
transformers
| 0 |
conversational
| true | false | true | null |
['fr']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'fr', 'transformers', 'conversational', 'has_space']
| false | true | true | 1,673 |
12,271 |
celential/erc
|
celential
|
albert
| 5 | 13 |
transformers
| 0 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'text-classification', 'transformers']
| false | false | false | 0 |
12,272 |
celine/emotion-detection_indobenchmark-indobert-lite-base-p1
|
celine
|
albert
| 7 | 7 |
transformers
| 0 |
text-classification
| false | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['tf', 'albert', 'text-classification', 'transformers']
| false | false | false | 0 |
12,273 |
celine/hate-speech_indobenchmark-indobert-lite-base-p1
|
celine
|
albert
| 7 | 7 |
transformers
| 0 |
text-classification
| false | true | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['tf', 'albert', 'text-classification', 'transformers']
| false | false | false | 0 |
12,274 |
celineguan/wav2vec2-base-timit-demo-colab
|
celineguan
| null | 4 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,275 |
celinelee/answer-extraction
|
celinelee
|
distilbert
| 3 | 16 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,276 |
celtics1863/env-bert-chinese
|
celtics1863
|
bert
| 8 | 10 |
transformers
| 2 |
fill-mask
| true | false | false | null |
['zh']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'zh', 'transformers', 'pretrain', 'environment', 'autotrain_compatible']
| false | true | true | 195 |
12,277 |
celtics1863/env-bert-cls-chinese
|
celtics1863
|
bert
| 10 | 13 |
transformers
| 0 |
text-classification
| true | false | false | null |
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'zh', 'transformers', 'environment', 'multi-class', 'classification']
| false | true | true | 200 |
12,278 |
celtics1863/env-bert-large-chinese
|
celtics1863
|
bert
| 7 | 5 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,279 |
celtics1863/env-bert-topic
|
celtics1863
|
bert
| 10 | 22 |
transformers
| 0 |
text-classification
| true | false | false | null |
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'zh', 'transformers', 'pretrain', 'environment', 'classification', 'topic classification']
| false | true | true | 646 |
12,280 |
cemdenizsel/10k-finetuned-bert-model
|
cemdenizsel
|
bert
| 3 | 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 |
12,281 |
cemdenizsel/51k-finetuned-bert-model
|
cemdenizsel
|
bert
| 3 | 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 |
12,282 |
cemdenizsel/51k-pretrained-bert-model
|
cemdenizsel
|
bert
| 3 | 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 |
12,283 |
cemigo/cemigo-test-model
|
cemigo
| null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | true | 65 |
12,284 |
cemigo/test-bart
|
cemigo
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,285 |
centon21/DialoGPT-small-harrypotter
|
centon21
| null | 11 | 4 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'transformers', 'conversational']
| false | true | true | 29 |
12,286 |
ceostroff/harry-potter-gpt2-fanfiction
|
ceostroff
|
gpt2
| 12 | 95 |
transformers
| 0 |
text-generation
| true | true | true |
mit
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'gpt2', 'text-generation', 'en', 'transformers', 'harry-potter', 'license:mit']
| false | true | true | 307 |
12,287 |
cerulianx/dall-e
|
cerulianx
| null | 6 | 0 | null | 0 | null | false | false | false |
afl-3.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['license:afl-3.0']
| false | true | false | 0 |
12,288 |
ceshine/TinyBERT_L-4_H-312_v2-distill-AllNLI
|
ceshine
|
bert
| 9 | 10 |
transformers
| 0 |
feature-extraction
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'feature-extraction', 'transformers']
| false | false | true | 1,043 |
12,289 |
ceshine/t5-paraphrase-paws-msrp-opinosis
|
ceshine
|
t5
| 9 | 22 |
transformers
| 3 |
text2text-generation
| true | false | true |
apache-2.0
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 't5', 'text2text-generation', 'en', 'transformers', 'paraphrasing', 'paraphrase', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 187 |
12,290 |
ceshine/t5-paraphrase-quora-paws
|
ceshine
|
t5
| 9 | 127 |
transformers
| 1 |
text2text-generation
| true | false | true |
apache-2.0
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'safetensors', 't5', 'text2text-generation', 'en', 'transformers', 'paraphrasing', 'paraphrase', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 177 |
12,291 |
cestwc/bart-base-concise-baseline
|
cestwc
|
bart
| 7 | 9 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,292 |
cestwc/bart-paranmt5m
|
cestwc
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,293 |
cestwc/roberta-base-bigram-binary
|
cestwc
|
roberta
| 9 | 11 |
transformers
| 0 |
token-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,294 |
cestwc/roberta-base-unigram-quaternary
|
cestwc
|
roberta
| 9 | 8 |
transformers
| 0 |
token-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,295 |
cestwc/roberta-base-unigram-ternary
|
cestwc
|
roberta
| 8 | 11 |
transformers
| 0 |
token-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,296 |
ceyda/clip-reply
|
ceyda
|
hybrid-clip
| 3 | 7 |
transformers
| 0 | null | false | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['jax', 'hybrid-clip', 'transformers', 'has_space']
| false | false | false | 0 |
12,297 |
ceyda/wav2vec2-base-760-turkish
|
ceyda
|
wav2vec2
| 9 | 16 |
transformers
| 1 |
automatic-speech-recognition
| true | false | false |
apache-2.0
|
['tr']
|
['common_voice']
| null | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
['pytorch', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'tr', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 3,614 |
12,298 |
ceyda/wav2vec2-base-760
|
ceyda
|
wav2vec2
| 4 | 11 |
transformers
| 1 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'feature-extraction', 'transformers']
| false | false | true | 46 |
12,299 |
ceyda/wav2vec2-large-xlsr-53-turkish
|
ceyda
|
wav2vec2
| 9 | 17 |
transformers
| 1 |
automatic-speech-recognition
| true | false | true |
apache-2.0
|
['tr']
|
['common_voice']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'wav2vec2', 'automatic-speech-recognition', 'tr', 'dataset:common_voice', 'transformers', 'audio', 'speech', 'xlsr-fine-tuning-week', 'license:apache-2.0', 'model-index']
| true | true | true | 3,383 |
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