Unnamed: 0
int64 0
245k
| repo_id
stringlengths 4
122
| author
stringlengths 2
42
⌀ | model_type
stringlengths 2
34
⌀ | files_per_repo
int64 0
77k
| downloads_30d
int64 0
55.9M
| library
stringlengths 2
37
⌀ | likes
int64 0
8.48k
| pipeline
stringlengths 5
30
⌀ | pytorch
bool 2
classes | tensorflow
bool 2
classes | jax
bool 2
classes | license
stringlengths 2
33
⌀ | languages
stringlengths 2
1.63k
⌀ | datasets
stringlengths 2
5.05k
⌀ | co2
stringlengths 3
342
⌀ | prs_count
int64 0
168
| prs_open
int64 0
121
| prs_merged
int64 0
167
| prs_closed
int64 0
35
| discussions_count
int64 0
226
| discussions_open
int64 0
155
| discussions_closed
int64 0
76
| tags
stringlengths 2
7.26k
| has_model_index
bool 2
classes | has_metadata
bool 2
classes | has_text
bool 2
classes | text_length
int64 0
849k
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12,500 |
ckiplab/albert-base-chinese-ner
|
ckiplab
|
albert
| 7 | 1,408 |
transformers
| 7 |
token-classification
| true | false | false |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'token-classification', 'zh', 'transformers', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 964 |
12,501 |
ckiplab/albert-base-chinese-pos
|
ckiplab
|
albert
| 7 | 785 |
transformers
| 2 |
token-classification
| true | false | false |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'token-classification', 'zh', 'transformers', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 964 |
12,502 |
ckiplab/albert-base-chinese-ws
|
ckiplab
|
albert
| 7 | 1,157 |
transformers
| 1 |
token-classification
| true | false | false |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'token-classification', 'zh', 'transformers', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 963 |
12,503 |
ckiplab/albert-base-chinese
|
ckiplab
|
albert
| 7 | 587 |
transformers
| 4 |
fill-mask
| true | false | false |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'fill-mask', 'zh', 'transformers', 'lm-head', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 960 |
12,504 |
ckiplab/albert-tiny-chinese-ner
|
ckiplab
|
albert
| 7 | 17,219 |
transformers
| 2 |
token-classification
| true | false | false |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'token-classification', 'zh', 'transformers', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 964 |
12,505 |
ckiplab/albert-tiny-chinese-pos
|
ckiplab
|
albert
| 7 | 17,142 |
transformers
| 0 |
token-classification
| true | false | false |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'token-classification', 'zh', 'transformers', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 964 |
12,506 |
ckiplab/albert-tiny-chinese-ws
|
ckiplab
|
albert
| 7 | 18,042 |
transformers
| 2 |
token-classification
| true | false | false |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'token-classification', 'zh', 'transformers', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 963 |
12,507 |
ckiplab/albert-tiny-chinese
|
ckiplab
|
albert
| 7 | 3,406 |
transformers
| 6 |
fill-mask
| true | false | false |
gpl-3.0
|
['zh']
| null | null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'fill-mask', 'zh', 'transformers', 'lm-head', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 960 |
12,508 |
ckiplab/bert-base-chinese-ner
|
ckiplab
|
bert
| 8 | 18,087 |
transformers
| 42 |
token-classification
| true | false | true |
gpl-3.0
|
['zh']
| null | null | 2 | 2 | 0 | 0 | 2 | 1 | 1 |
['pytorch', 'jax', 'bert', 'token-classification', 'zh', 'transformers', 'license:gpl-3.0', 'autotrain_compatible', 'has_space']
| false | true | true | 960 |
12,509 |
ckiplab/bert-base-chinese-pos
|
ckiplab
|
bert
| 8 | 74,618 |
transformers
| 12 |
token-classification
| true | false | true |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'token-classification', 'zh', 'transformers', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 960 |
12,510 |
ckiplab/bert-base-chinese-ws
|
ckiplab
|
bert
| 8 | 100,948 |
transformers
| 7 |
token-classification
| true | false | true |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'token-classification', 'zh', 'transformers', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 959 |
12,511 |
ckiplab/bert-base-chinese
|
ckiplab
|
bert
| 8 | 4,664 |
transformers
| 10 |
fill-mask
| true | false | true |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'fill-mask', 'zh', 'transformers', 'lm-head', 'license:gpl-3.0', 'autotrain_compatible']
| false | true | true | 956 |
12,512 |
ckiplab/gpt2-base-chinese
|
ckiplab
|
gpt2
| 8 | 1,080 |
transformers
| 23 |
text-generation
| true | false | true |
gpl-3.0
|
['zh']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'gpt2', 'text-generation', 'zh', 'transformers', 'lm-head', 'license:gpl-3.0', 'has_space']
| false | true | true | 956 |
12,513 |
cl-nagoya/defsent-bert-base-uncased-cls
|
cl-nagoya
|
bert
| 7 | 122 |
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 |
12,514 |
cl-nagoya/defsent-bert-base-uncased-max
|
cl-nagoya
|
bert
| 7 | 23 |
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 |
12,515 |
cl-nagoya/defsent-bert-base-uncased-mean
|
cl-nagoya
|
bert
| 7 | 284 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,516 |
cl-nagoya/defsent-bert-large-uncased-cls
|
cl-nagoya
|
bert
| 7 | 21 |
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 |
12,517 |
cl-nagoya/defsent-bert-large-uncased-max
|
cl-nagoya
|
bert
| 7 | 19 |
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 |
12,518 |
cl-nagoya/defsent-bert-large-uncased-mean
|
cl-nagoya
|
bert
| 7 | 19 |
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 |
12,519 |
cl-nagoya/defsent-roberta-base-cls
|
cl-nagoya
|
roberta
| 8 | 22 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,520 |
cl-nagoya/defsent-roberta-base-max
|
cl-nagoya
|
roberta
| 8 | 20 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,521 |
cl-nagoya/defsent-roberta-base-mean
|
cl-nagoya
|
roberta
| 8 | 20 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,522 |
cl-nagoya/defsent-roberta-large-cls
|
cl-nagoya
|
roberta
| 8 | 20 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,523 |
cl-nagoya/defsent-roberta-large-max
|
cl-nagoya
|
roberta
| 8 | 33 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,524 |
cl-nagoya/defsent-roberta-large-mean
|
cl-nagoya
|
roberta
| 8 | 20 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,525 |
cl-tohoku/bert-base-japanese-char-v2
|
cl-tohoku
|
bert
| 8 | 55,539 |
transformers
| 2 |
fill-mask
| true | true | true |
cc-by-sa-4.0
|
['ja']
|
['wikipedia']
| null | 1 | 1 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc-by-sa-4.0', 'autotrain_compatible']
| false | true | true | 2,469 |
12,526 |
cl-tohoku/bert-base-japanese-char-whole-word-masking
|
cl-tohoku
|
bert
| 8 | 1,645 |
transformers
| 4 |
fill-mask
| true | true | true |
cc-by-sa-4.0
|
['ja']
|
['wikipedia']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc-by-sa-4.0', 'autotrain_compatible', 'has_space']
| false | true | true | 1,980 |
12,527 |
cl-tohoku/bert-base-japanese-char
|
cl-tohoku
|
bert
| 8 | 107,306 |
transformers
| 7 |
fill-mask
| true | true | true |
cc-by-sa-4.0
|
['ja']
|
['wikipedia']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc-by-sa-4.0', 'autotrain_compatible', 'has_space']
| false | true | true | 1,616 |
12,528 |
cl-tohoku/bert-base-japanese-v2
|
cl-tohoku
|
bert
| 8 | 53,095 |
transformers
| 20 |
fill-mask
| true | true | true |
cc-by-sa-4.0
|
['ja']
|
['wikipedia']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc-by-sa-4.0', 'autotrain_compatible', 'has_space']
| false | true | true | 2,484 |
12,529 |
cl-tohoku/bert-base-japanese-whole-word-masking
|
cl-tohoku
|
bert
| 8 | 465,021 |
transformers
| 45 |
fill-mask
| true | true | true |
cc-by-sa-4.0
|
['ja']
|
['wikipedia']
| null | 1 | 1 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc-by-sa-4.0', 'autotrain_compatible', 'has_space']
| false | true | true | 2,004 |
12,530 |
cl-tohoku/bert-base-japanese
|
cl-tohoku
|
bert
| 8 | 172,310 |
transformers
| 13 |
fill-mask
| true | true | true |
cc-by-sa-4.0
|
['ja']
|
['wikipedia']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc-by-sa-4.0', 'autotrain_compatible', 'has_space']
| false | true | true | 1,640 |
12,531 |
cl-tohoku/bert-large-japanese-char
|
cl-tohoku
|
bert
| 8 | 166 |
transformers
| 4 |
fill-mask
| true | true | true |
cc-by-sa-4.0
|
['ja']
|
['wikipedia']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc-by-sa-4.0', 'autotrain_compatible']
| false | true | true | 2,472 |
12,532 |
cl-tohoku/bert-large-japanese
|
cl-tohoku
|
bert
| 8 | 6,112 |
transformers
| 6 |
fill-mask
| true | true | true |
cc-by-sa-4.0
|
['ja']
|
['wikipedia']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'ja', 'dataset:wikipedia', 'transformers', 'license:cc-by-sa-4.0', 'autotrain_compatible']
| false | true | true | 2,487 |
12,533 |
cl-tohoku/roberta-base-japanese
|
cl-tohoku
|
roberta
| 5 | 20 |
transformers
| 1 |
fill-mask
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 1 | 1 | 0 |
['pytorch', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,534 |
cla/sr
|
cla
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,535 |
clagator/biobert_squad2_cased
|
clagator
|
bert
| 11 | 228 |
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 |
12,536 |
clagator/biobert_v1.1_pubmed_nli_sts
|
clagator
|
bert
| 8 | 9 |
transformers
| 1 |
feature-extraction
| true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'bert', 'feature-extraction', 'transformers']
| false | false | false | 0 |
12,537 |
clairesb/kindness_bot
|
clairesb
|
gpt2
| 9 | 12 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 30 |
12,538 |
clairesb/kindness_bot_repo
|
clairesb
|
gpt2
| 9 | 12 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 18 |
12,539 |
clampert/multilingual-sentiment-covid19
|
clampert
|
xlm-roberta
| 7 | 271 |
transformers
| 4 |
text-classification
| true | false | false |
apache-2.0
|
['multilingual']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'text-classification', 'multilingual', 'transformers', 'sentiment-analysis', 'license:apache-2.0']
| false | true | true | 1,230 |
12,540 |
clancystudios/DialoGPT-medium-Morty
|
clancystudios
|
gpt2
| 11 | 565 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | false | 0 |
12,541 |
clarin-pl/fastText-kgr10
|
clarin-pl
| null | 9 | 0 | null | 0 | null | false | false | false | null |
['pl']
|
['kgr10']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pl', 'dataset:kgr10', 'fastText']
| false | true | true | 3,102 |
12,542 |
clarin-pl/herbert-kgr10
|
clarin-pl
|
bert
| 12 | 165 |
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 |
12,543 |
clarin-pl/roberta-polish-kgr10
|
clarin-pl
|
roberta
| 13 | 10 |
transformers
| 1 |
fill-mask
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'fill-mask', 'transformers', 'autotrain_compatible', 'has_space']
| false | false | true | 395 |
12,544 |
clarin-pl/word2vec-kgr10
|
clarin-pl
| null | 9 | 0 | null | 0 | null | false | false | false | null |
['pl']
|
['KGR10']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pl', 'dataset:KGR10', 'word2vec', 'has_space']
| false | true | true | 2,901 |
12,545 |
classla/bcms-bertic-frenk-hate
|
classla
|
bert
| 11 | 28 |
transformers
| 0 |
text-classification
| true | false | false |
cc-by-sa-4.0
|
['hr']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'bert', 'text-classification', 'hr', 'arxiv:1906.02045', 'transformers', 'hate-speech', 'license:cc-by-sa-4.0']
| false | true | true | 3,666 |
12,546 |
classla/bcms-bertic-generator
|
classla
|
electra
| 6 | 70 |
transformers
| 1 | null | true | false | false |
apache-2.0
|
['hr', 'bs', 'sr', 'cnr', 'hbs']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'hr', 'bs', 'sr', 'cnr', 'hbs', 'transformers', 'masked-lm', 'license:apache-2.0']
| false | true | true | 1,189 |
12,547 |
classla/bcms-bertic-geo
|
classla
|
electra
| 6 | 7 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'transformers']
| false | false | false | 0 |
12,548 |
classla/bcms-bertic-ner
|
classla
|
electra
| 8 | 26,841 |
transformers
| 4 |
token-classification
| true | false | false |
apache-2.0
|
['hr', 'bs', 'sr', 'cnr', 'hbs']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'electra', 'token-classification', 'hr', 'bs', 'sr', 'cnr', 'hbs', 'transformers', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 2,449 |
12,549 |
classla/bcms-bertic
|
classla
|
electra
| 6 | 4,868 |
transformers
| 5 | null | true | false | false |
apache-2.0
|
['hr', 'bs', 'sr', 'cnr', 'hbs']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'pretraining', 'hr', 'bs', 'sr', 'cnr', 'hbs', 'transformers', 'license:apache-2.0']
| false | true | true | 4,681 |
12,550 |
classla/bert-base-german-dbmdz-uncased-geo
|
classla
|
bert
| 6 | 5 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'transformers']
| false | false | false | 0 |
12,551 |
classla/roberta-base-frenk-hate
|
classla
|
roberta
| 12 | 38 |
transformers
| 0 |
text-classification
| true | false | false |
cc-by-sa-4.0
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'en', 'arxiv:1907.11692', 'arxiv:1906.02045', 'transformers', 'hate-speech', 'license:cc-by-sa-4.0', 'has_space']
| false | true | true | 4,216 |
12,552 |
classla/sloberta-frenk-hate
|
classla
|
camembert
| 11 | 41 |
transformers
| 0 |
text-classification
| true | false | false |
cc-by-sa-4.0
|
['sl']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'camembert', 'text-classification', 'sl', 'arxiv:1907.11692', 'arxiv:1906.02045', 'transformers', 'hate-speech', 'license:cc-by-sa-4.0']
| false | true | true | 3,347 |
12,553 |
classla/swissbert-geo
|
classla
|
bert
| 6 | 5 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'transformers']
| false | false | false | 0 |
12,554 |
classla/wav2vec2-xls-r-parlaspeech-hr
|
classla
|
wav2vec2
| 18 | 59 |
transformers
| 1 |
automatic-speech-recognition
| true | false | false | null |
['hr']
|
['parlaspeech-hr']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'hr', 'dataset:parlaspeech-hr', 'transformers', 'audio', 'parlaspeech']
| false | true | true | 2,541 |
12,555 |
claudelkros/T5_french_wiki_summarizer
|
claudelkros
|
t5
| 6 | 28 |
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 | false | 0 |
12,556 |
claudelkros/bert-base-french
|
claudelkros
| null | 4 | 7 |
transformers
| 0 | null | true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'transformers']
| false | false | false | 0 |
12,557 |
clayfox/DialoGPT-medium-Hiccup
|
clayfox
|
gpt2
| 11 | 16 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 23 |
12,558 |
clayfox/DialoGPT-small-Hiccup
|
clayfox
|
gpt2
| 11 | 12 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 27 |
12,559 |
clee7/layoutlm-finetune-sroie
|
clee7
|
bert
| 9 | 7 |
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 |
12,560 |
clem/autonlp-test3-2101779
|
clem
|
bert
| 9 | 12 |
transformers
| 0 |
text-classification
| true | false | false | null |
['en']
|
['clem/autonlp-data-test3']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'en', 'dataset:clem/autonlp-data-test3', 'transformers', 'autonlp']
| false | true | true | 853 |
12,561 |
clem/autonlp-test3-2101782
|
clem
|
bert
| 9 | 12 |
transformers
| 0 |
text-classification
| true | false | false | null |
['en']
|
['clem/autonlp-data-test3']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'text-classification', 'en', 'dataset:clem/autonlp-data-test3', 'transformers', 'autonlp']
| false | true | true | 856 |
12,562 |
clem/autonlp-test3-2101787
|
clem
|
distilbert
| 9 | 15 |
transformers
| 0 |
text-classification
| true | false | false | null |
['en']
|
['clem/autonlp-data-test3']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'text-classification', 'en', 'dataset:clem/autonlp-data-test3', 'transformers', 'autonlp']
| false | true | true | 853 |
12,563 |
clem/bert_portuguese
|
clem
| null | 1 | 0 | null | 1 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,564 |
cleoisstupid/cleobot
|
cleoisstupid
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,565 |
climatebert/distilroberta-base-climate-commitment
|
climatebert
|
roberta
| 11 | 441 |
transformers
| 0 |
text-classification
| true | false | false |
apache-2.0
|
['en']
|
['climatebert/climate_commitments_actions']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'en', 'dataset:climatebert/climate_commitments_actions', 'transformers', 'license:apache-2.0']
| false | true | true | 2,145 |
12,566 |
climatebert/distilroberta-base-climate-d-s
|
climatebert
|
roberta
| 11 | 20 |
transformers
| 3 |
fill-mask
| true | false | false |
apache-2.0
|
['en']
| null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'fill-mask', 'en', 'arxiv:2110.12010', 'transformers', 'climate', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 2,717 |
12,567 |
climatebert/distilroberta-base-climate-d
|
climatebert
|
roberta
| 10 | 13 |
transformers
| 2 |
fill-mask
| true | false | false |
apache-2.0
|
['en']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'en', 'arxiv:2110.12010', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 2,698 |
12,568 |
climatebert/distilroberta-base-climate-detector
|
climatebert
|
roberta
| 11 | 18,004 |
transformers
| 3 |
text-classification
| true | false | false |
apache-2.0
|
['en']
|
['climatebert/climate_detection']
| null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'en', 'dataset:climatebert/climate_detection', 'transformers', 'license:apache-2.0']
| false | true | true | 1,984 |
12,569 |
climatebert/distilroberta-base-climate-f
|
climatebert
|
roberta
| 11 | 752 |
transformers
| 15 |
fill-mask
| true | false | false |
apache-2.0
|
['en']
| null | null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'fill-mask', 'en', 'arxiv:2110.12010', 'transformers', 'climate', 'license:apache-2.0', 'autotrain_compatible', 'has_space']
| false | true | true | 3,065 |
12,570 |
climatebert/distilroberta-base-climate-s
|
climatebert
|
roberta
| 11 | 18 |
transformers
| 3 |
fill-mask
| true | false | false |
apache-2.0
|
['en']
| null | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'fill-mask', 'en', 'arxiv:2110.12010', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 2,698 |
12,571 |
climatebert/distilroberta-base-climate-sentiment
|
climatebert
|
roberta
| 11 | 12,433 |
transformers
| 0 |
text-classification
| true | false | false |
apache-2.0
|
['en']
|
['climatebert/climate_sentiment']
| null | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'en', 'dataset:climatebert/climate_sentiment', 'transformers', 'license:apache-2.0']
| false | true | true | 2,062 |
12,572 |
climatebert/distilroberta-base-climate-specificity
|
climatebert
|
roberta
| 11 | 358 |
transformers
| 0 |
text-classification
| true | false | false |
apache-2.0
|
['en']
|
['climatebert/climate_specificity']
| null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'en', 'dataset:climatebert/climate_specificity', 'transformers', 'climate', 'license:apache-2.0']
| false | true | true | 2,043 |
12,573 |
climatebert/distilroberta-base-climate-tcfd
|
climatebert
|
roberta
| 11 | 315 |
transformers
| 0 |
text-classification
| true | false | false |
apache-2.0
|
['en']
|
['climatebert/tcfd_recommendations']
| null | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
['pytorch', 'safetensors', 'roberta', 'text-classification', 'en', 'dataset:climatebert/tcfd_recommendations', 'transformers', 'climate', 'license:apache-2.0']
| false | true | true | 2,182 |
12,574 |
cling371/modeling_test
|
cling371
|
distilbert
| 3 | 7 |
transformers
| 0 |
fill-mask
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'fill-mask', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,575 |
clip-italian/clip-it-margin
|
clip-italian
|
hybrid-clip
| 3 | 5 |
transformers
| 0 | null | false | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['jax', 'hybrid-clip', 'transformers']
| false | false | false | 0 |
12,576 |
clip-italian/clip-italian-final
|
clip-italian
|
hybrid-clip
| 4 | 5 |
transformers
| 0 | null | false | false | true | null |
['it']
|
['wit', 'ctl/conceptualCaptions', 'mscoco-it']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['jax', 'hybrid-clip', 'it', 'dataset:wit', 'dataset:ctl/conceptualCaptions', 'dataset:mscoco-it', 'arxiv:2103.00020', 'transformers', 'italian', 'bert', 'vit', 'vision']
| false | true | true | 1,956 |
12,577 |
clip-italian/clip-italian
|
clip-italian
|
vision-text-dual-encoder
| 10 | 742 |
transformers
| 14 |
feature-extraction
| true | false | true |
gpl-3.0
|
['it']
|
['wit', 'ctl/conceptualCaptions', 'mscoco-it']
| null | 2 | 1 | 0 | 1 | 0 | 0 | 0 |
['pytorch', 'jax', 'vision-text-dual-encoder', 'feature-extraction', 'it', 'dataset:wit', 'dataset:ctl/conceptualCaptions', 'dataset:mscoco-it', 'arxiv:2108.08688', 'arxiv:2103.01913', 'arxiv:2103.00020', 'transformers', 'italian', 'bert', 'vit', 'vision', 'license:gpl-3.0', 'has_space']
| false | true | true | 5,098 |
12,578 |
clips/contact
|
clips
|
roberta
| 9 | 9 |
transformers
| 0 |
feature-extraction
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'feature-extraction', 'arxiv:2203.07362', 'transformers']
| false | false | true | 2,355 |
12,579 |
clips/mfaq
|
clips
|
xlm-roberta
| 14 | 664 |
sentence-transformers
| 32 |
sentence-similarity
| true | true | false |
apache-2.0
|
['cs', 'da', 'de', 'en', 'es', 'fi', 'fr', 'he', 'hr', 'hu', 'id', 'it', 'nl', 'no', 'pl', 'pt', 'ro', 'ru', 'sv', 'tr', 'vi']
|
['clips/mfaq']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'xlm-roberta', 'cs', 'da', 'de', 'en', 'es', 'fi', 'fr', 'he', 'hr', 'hu', 'id', 'it', 'nl', 'no', 'pl', 'pt', 'ro', 'ru', 'sv', 'tr', 'vi', 'dataset:clips/mfaq', 'arxiv:2109.12870', 'sentence-transformers', 'feature-extraction', 'sentence-similarity', 'transformers', 'license:apache-2.0']
| false | true | true | 3,007 |
12,580 |
clue/albert_chinese_small
|
clue
|
albert
| 5 | 64 |
transformers
| 0 | null | true | false | false | null |
['zh']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'zh', 'transformers']
| false | true | true | 1,045 |
12,581 |
clue/albert_chinese_tiny
|
clue
|
albert
| 5 | 600 |
transformers
| 15 | null | true | false | false | null |
['zh']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'zh', 'transformers']
| false | true | true | 1,038 |
12,582 |
clue/roberta_chinese_3L312_clue_tiny
|
clue
|
roberta
| 6 | 18 |
transformers
| 2 | null | true | false | true | null |
['zh']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'zh', 'arxiv:2003.01355', 'transformers']
| false | true | true | 2,418 |
12,583 |
clue/roberta_chinese_3L768_clue_tiny
|
clue
|
roberta
| 5 | 161 |
transformers
| 1 | null | true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'transformers']
| false | false | false | 0 |
12,584 |
clue/roberta_chinese_base
|
clue
|
roberta
| 6 | 298 |
transformers
| 2 | null | true | false | true | null |
['zh']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'zh', 'transformers']
| false | true | true | 978 |
12,585 |
clue/roberta_chinese_clue_large
|
clue
|
roberta
| 5 | 15 |
transformers
| 0 | null | true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'transformers']
| false | false | false | 0 |
12,586 |
clue/roberta_chinese_clue_tiny
|
clue
|
roberta
| 5 | 114 |
transformers
| 1 | null | true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'transformers']
| false | false | false | 0 |
12,587 |
clue/roberta_chinese_large
|
clue
|
roberta
| 6 | 46 |
transformers
| 0 | null | true | false | true | null |
['zh']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'zh', 'transformers']
| false | true | true | 982 |
12,588 |
clue/roberta_chinese_pair_large
|
clue
|
roberta
| 5 | 9 |
transformers
| 3 | null | true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'transformers']
| false | false | false | 0 |
12,589 |
clue/roberta_chinese_pair_tiny
|
clue
|
roberta
| 5 | 85 |
transformers
| 1 | null | true | false | true | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'transformers']
| false | false | false | 0 |
12,590 |
clue/xlnet_chinese_large
|
clue
|
xlnet
| 5 | 83 |
transformers
| 0 | null | true | false | false | null |
['zh']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlnet', 'zh', 'transformers']
| false | true | true | 897 |
12,591 |
clulab/roberta-timex-semeval
|
clulab
|
roberta
| 9 | 10 |
transformers
| 0 |
token-classification
| true | false | true | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'jax', 'roberta', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
12,592 |
cmarkea/distilcamembert-base-ner
|
cmarkea
|
camembert
| 10 | 35,018 |
transformers
| 15 |
token-classification
| true | true | false |
mit
|
['fr']
|
['Jean-Baptiste/wikiner_fr']
| null | 3 | 2 | 1 | 0 | 1 | 0 | 1 |
['pytorch', 'tf', 'onnx', 'camembert', 'token-classification', 'fr', 'dataset:Jean-Baptiste/wikiner_fr', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 6,042 |
12,593 |
cmarkea/distilcamembert-base-nli
|
cmarkea
|
camembert
| 9 | 886 |
transformers
| 9 |
zero-shot-classification
| true | true | false |
mit
|
['fr']
|
['flue']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'onnx', 'camembert', 'text-classification', 'fr', 'dataset:flue', 'transformers', 'zero-shot-classification', 'sentence-similarity', 'nli', 'license:mit']
| false | true | true | 7,982 |
12,594 |
cmarkea/distilcamembert-base-qa
|
cmarkea
|
camembert
| 9 | 166 |
transformers
| 8 |
question-answering
| true | true | false |
cc-by-nc-sa-3.0
|
['fr']
|
['fquad', 'piaf']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'onnx', 'camembert', 'question-answering', 'fr', 'dataset:fquad', 'dataset:piaf', 'transformers', 'license:cc-by-nc-sa-3.0', 'autotrain_compatible']
| false | true | true | 5,350 |
12,595 |
cmarkea/distilcamembert-base-sentiment
|
cmarkea
|
camembert
| 8 | 12,766 |
transformers
| 19 |
text-classification
| true | true | false |
mit
|
['fr']
|
['amazon_reviews_multi', 'allocine']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'onnx', 'camembert', 'text-classification', 'fr', 'dataset:amazon_reviews_multi', 'dataset:allocine', 'transformers', 'license:mit', 'has_space']
| false | true | true | 6,816 |
12,596 |
cmarkea/distilcamembert-base
|
cmarkea
|
camembert
| 7 | 8,727 |
transformers
| 23 |
fill-mask
| true | true | false |
mit
|
['fr']
|
['oscar']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tf', 'camembert', 'fill-mask', 'fr', 'dataset:oscar', 'arxiv:1910.01108', 'transformers', 'license:mit', 'autotrain_compatible']
| false | true | true | 3,896 |
12,597 |
cmqzg/first
|
cmqzg
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
12,598 |
cnicu/led-booksum
|
cnicu
|
led
| 8 | 13 |
transformers
| 0 |
summarization
| true | false | false |
mit
| null |
['kmfoda/booksum']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'led', 'text2text-generation', 'dataset:kmfoda/booksum', 'transformers', 'summarization', 'license:mit', 'autotrain_compatible']
| false | true | false | 0 |
12,599 |
cnicu/pegasus-large-booksum
|
cnicu
|
pegasus
| 8 | 26 |
transformers
| 0 |
summarization
| true | false | false |
mit
| null |
['kmfoda/booksum']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'pegasus', 'text2text-generation', 'dataset:kmfoda/booksum', 'transformers', 'summarization', 'license:mit', 'autotrain_compatible']
| false | true | false | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.