id
stringlengths 5
118
| author
stringlengths 2
42
⌀ | lastModified
stringlengths 19
19
⌀ | downloads
float64 0
117M
⌀ | downloadsAllTime
float64 0
2.17B
⌀ | tags
stringlengths 2
28.2k
⌀ | pipeline_tag
stringclasses 52
values | createdAt
stringlengths 19
19
⌀ | dataset
stringlengths 1
5.92k
⌀ | license
stringclasses 104
values | architectures
stringlengths 2
125
⌀ | base_model
stringlengths 10
2.07k
⌀ | base_model_relation
stringclasses 11
values |
---|---|---|---|---|---|---|---|---|---|---|---|---|
spacy/sv_core_news_sm
|
spacy
|
2023-10-10 06:35:38
| 131 | 816 |
['spacy', 'token-classification', 'sv', 'model-index']
|
token-classification
|
2022-05-02 07:56:09
|
unknown
|
cc-by-sa-4.0
|
unknown
| null |
unknown
|
nielsr/layoutlmv3-finetuned-funsd
|
nielsr
|
2023-09-16 10:14:49
| 2,003 | 57,257 |
['transformers', 'pytorch', 'tensorboard', 'safetensors', 'layoutlmv3', 'token-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-05-02 16:18:22
|
nielsr/funsd-layoutlmv3
|
unknown
|
LayoutLMv3ForTokenClassification
|
['microsoft/layoutlmv3-base']
|
finetune
|
ml4pubmed/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext_pub_section
|
ml4pubmed
|
2023-03-20 14:09:51
| 269 | 5,999 |
['transformers', 'pytorch', 'onnx', 'safetensors', 'bert', 'text-classification', 'document sections', 'sentence classification', 'document classification', 'medical', 'health', 'biomedical', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-04 00:14:18
|
pubmed_ml4pubmed/pubmed-classification-20k
|
apache-2.0
|
BertForSequenceClassification
| null |
unknown
|
StanfordAIMI/RadBERT
|
StanfordAIMI
|
2022-11-19 01:10:33
| 954 | 355,721 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'biobert', 'radbert', 'language-model', 'uncased', 'radiology', 'biomedical', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-05-04 00:48:50
|
wikipedia_bookscorpus_pubmed_radreports
|
mit
|
BertForMaskedLM
| null |
unknown
|
qanastek/XLMRoberta-Alexa-Intents-Classification
|
qanastek
|
2022-05-05 00:52:15
| 5,016 | 82,722 |
['transformers', 'pytorch', 'Transformers', 'text-classification', 'intent-classification', 'multi-class-classification', 'natural-language-understanding', 'endpoints_compatible']
|
text-classification
|
2022-05-04 22:36:57
|
qanastek/MASSIVE
|
cc-by-4.0
|
unknown
| null |
unknown
|
SBB/sbb_binarization
|
SBB
|
2024-07-05 13:08:35
| 0 | 0 |
['tf-keras', 'image-to-image', 'pixelwise-segmentation']
|
image-to-image
|
2022-05-05 22:02:55
|
DIBCO_H-DIBCO
|
apache-2.0
|
unknown
| null |
unknown
|
microsoft/BiomedVLP-CXR-BERT-general
|
microsoft
|
2022-07-11 14:52:52
| 15,786 | 426,458 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'exbert', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-05-05 22:10:13
|
unknown
|
mit
|
BertForMaskedLM
| null |
unknown
|
shibing624/bert4ner-base-chinese
|
shibing624
|
2024-02-19 09:23:05
| 1,267 | 26,112 |
['transformers', 'pytorch', 'safetensors', 'bert', 'token-classification', 'zh', 'ner', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-05-07 08:24:29
|
unknown
|
apache-2.0
|
BertForTokenClassification
| null |
unknown
|
khanhld/wav2vec2-base-vietnamese-160h
|
khanhld
|
2024-11-22 09:01:29
| 458 | 11,406 |
['transformers', 'pytorch', 'wav2vec2', 'automatic-speech-recognition', 'audio', 'speech', 'Transformer', 'vietnamese', 'vi', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-05-07 08:54:51
|
vivos_common_voice_FOSD_VLSP
|
cc-by-nc-4.0
|
Wav2Vec2ForCTC
| null |
unknown
|
staka/fugumt-en-ja
|
staka
|
2023-08-15 08:45:04
| 55,608 | 559,699 |
['transformers', 'pytorch', 'marian', 'text2text-generation', 'translation', 'en', 'ja', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-05-08 04:23:57
|
unknown
|
cc-by-sa-4.0
|
MarianMTModel
| null |
unknown
|
vitouphy/wav2vec2-xls-r-300m-timit-phoneme
|
vitouphy
|
2023-05-13 17:04:31
| 20,854 | 115,971 |
['transformers', 'pytorch', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'en', 'generated_from_trainer', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-05-08 06:41:55
|
unknown
|
apache-2.0
|
Wav2Vec2ForCTC
| null |
unknown
|
facebook/opt-125m
|
facebook
|
2023-09-15 13:10:03
| 9,028,757 | 68,199,114 |
['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-05-11 08:25:17
|
unknown
|
other
|
OPTForCausalLM
| null |
source
|
facebook/opt-350m
|
facebook
|
2023-09-15 13:09:50
| 966,748 | 6,057,085 |
['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-05-11 08:25:39
|
unknown
|
other
|
OPTForCausalLM
| null |
source
|
facebook/opt-1.3b
|
facebook
|
2023-09-15 13:09:33
| 265,282 | 26,379,219 |
['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-05-11 08:26:00
|
unknown
|
other
|
OPTForCausalLM
| null |
unknown
|
facebook/opt-2.7b
|
facebook
|
2023-09-15 13:04:38
| 62,983 | 4,156,155 |
['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-05-11 08:26:30
|
unknown
|
other
|
OPTForCausalLM
| null |
unknown
|
facebook/opt-6.7b
|
facebook
|
2023-01-24 17:10:29
| 72,296 | 3,691,179 |
['transformers', 'pytorch', 'tf', 'jax', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-05-11 08:26:52
|
unknown
|
other
|
OPTForCausalLM
| null |
unknown
|
AnnaWegmann/Style-Embedding
|
AnnaWegmann
|
2024-11-28 17:13:27
| 300,271 | 745,875 |
['sentence-transformers', 'pytorch', 'roberta', 'feature-extraction', 'sentence-similarity', 'transformers', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']
|
sentence-similarity
|
2022-05-11 12:42:35
|
AnnaWegmann/StyleEmbeddingData
|
unknown
|
RobertaModel
|
['FacebookAI/roberta-base']
|
finetune
|
microsoft/BiomedVLP-CXR-BERT-specialized
|
microsoft
|
2024-09-10 09:07:21
| 31,608 | 1,205,503 |
['transformers', 'pytorch', 'cxr-bert', 'feature-extraction', 'exbert', 'fill-mask', 'custom_code', 'en']
|
fill-mask
|
2022-05-11 17:20:52
|
unknown
|
mit
|
CXRBertModel
| null |
unknown
|
ncfrey/ChemGPT-4.7M
|
ncfrey
|
2022-06-15 15:17:11
| 2,529 | 45,257 |
['transformers', 'pytorch', 'gpt_neo', 'text-generation', 'chemistry', 'autotrain_compatible', 'endpoints_compatible']
|
text-generation
|
2022-05-11 19:54:55
|
unknown
|
unknown
|
GPTNeoForCausalLM
| null |
unknown
|
ncfrey/ChemGPT-1.2B
|
ncfrey
|
2022-06-15 15:44:24
| 341 | 9,744 |
['transformers', 'pytorch', 'gpt_neo', 'text-generation', 'chemistry', 'autotrain_compatible', 'endpoints_compatible']
|
text-generation
|
2022-05-11 20:16:48
|
unknown
|
unknown
|
GPTNeoForCausalLM
| null |
unknown
|
neongeckocom/tts-vits-ljspeech-en
|
neongeckocom
|
2022-08-13 08:15:12
| 23 | 826 |
['transformers', 'endpoints_compatible']
|
unknown
|
2022-05-12 19:23:35
|
unknown
|
bsd-3-clause
|
unknown
| null |
unknown
|
Jorgvt/CycleGAN_GTA_REAL
|
Jorgvt
|
2024-07-11 07:49:23
| 11 | 266 |
['tf-keras', 'image-to-image']
|
image-to-image
|
2022-05-12 23:26:10
|
unknown
|
unknown
|
unknown
| null |
unknown
|
StanfordAIMI/RRG_scorers
|
StanfordAIMI
|
2024-11-15 23:13:00
| 0 | 0 |
[]
|
unknown
|
2022-05-13 19:33:07
|
unknown
|
mit
|
unknown
| null |
unknown
|
Sigma/financial-sentiment-analysis
|
Sigma
|
2022-05-14 11:48:56
| 1,164 | 392,878 |
['transformers', 'pytorch', 'tensorboard', 'bert', 'text-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-14 08:41:10
|
financial_phrasebank
|
unknown
|
BertForSequenceClassification
| null |
unknown
|
Finnish-NLP/t5-small-nl24-casing-punctuation-correction
|
Finnish-NLP
|
2022-05-22 10:07:07
| 169 | 1,680 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-05-15 09:52:53
|
unknown
|
unknown
|
T5ForConditionalGeneration
| null |
unknown
|
edumunozsala/beto_sentiment_analysis_es
|
edumunozsala
|
2023-08-10 17:45:41
| 124 | 6,012 |
['transformers', 'pytorch', 'safetensors', 'bert', 'text-classification', 'sagemaker', 'beto', 'TextClassification', 'SentimentAnalysis', 'es', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-15 17:06:52
|
IMDbreviews_es
|
apache-2.0
|
BertForSequenceClassification
| null |
unknown
|
soleimanian/financial-roberta-large-sentiment
|
soleimanian
|
2022-10-12 21:04:39
| 9,649 | 801,478 |
['transformers', 'pytorch', 'roberta', 'text-classification', 'Sentiment', 'RoBERTa', 'Financial Statements', 'Accounting', 'Finance', 'Business', 'ESG', 'CSR Reports', 'Financial News', 'Earnings Call Transcripts', 'Sustainability', 'Corporate governance', 'eng', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-16 04:09:10
|
unknown
|
apache-2.0
|
RobertaForSequenceClassification
| null |
unknown
|
paust/pko-t5-base
|
paust
|
2022-09-14 04:44:45
| 1,040 | 51,207 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'ko', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-05-16 11:59:13
|
unknown
|
cc-by-4.0
|
T5ForConditionalGeneration
| null |
unknown
|
vamossyd/emtract-distilbert-base-uncased-emotion
|
vamossyd
|
2024-02-26 19:15:22
| 1,292 | 21,084 |
['transformers', 'pytorch', 'safetensors', 'distilbert', 'text-classification', 'financial-emotion-analysis', 'emotion', 'twitter', 'stocktwits', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-17 22:58:34
|
vamossyd/finance_emotions
|
mit
|
DistilBertForSequenceClassification
| null |
unknown
|
Ahmed9275/Vit-Cifar100
|
Ahmed9275
|
2022-05-19 01:26:45
| 1,585 | 50,474 |
['transformers', 'pytorch', 'tensorboard', 'vit', 'image-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
image-classification
|
2022-05-18 22:16:08
|
cifar100
|
apache-2.0
|
ViTForImageClassification
| null |
unknown
|
vitouphy/wav2vec2-xls-r-300m-phoneme
|
vitouphy
|
2023-05-13 17:04:45
| 57,763 | 196,639 |
['transformers', 'pytorch', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'generated_from_trainer', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-05-19 03:03:57
|
unknown
|
apache-2.0
|
Wav2Vec2ForCTC
| null |
unknown
|
bigscience/bloom-560m
|
bigscience
|
2023-09-26 09:16:49
| 179,083 | 21,167,849 |
['transformers', 'pytorch', 'jax', 'onnx', 'safetensors', 'bloom', 'text-generation', 'ak', 'ar', 'as', 'bm', 'bn', 'ca', 'code', 'en', 'es', 'eu', 'fon', 'fr', 'gu', 'hi', 'id', 'ig', 'ki', 'kn', 'lg', 'ln', 'ml', 'mr', 'ne', 'nso', 'ny', 'or', 'pa', 'pt', 'rn', 'rw', 'sn', 'st', 'sw', 'ta', 'te', 'tn', 'ts', 'tum', 'tw', 'ur', 'vi', 'wo', 'xh', 'yo', 'zh', 'zhs', 'zht', 'zu', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-05-19 11:51:24
|
unknown
|
bigscience-bloom-rail-1.0
|
BloomForCausalLM
| null |
unknown
|
bigscience/bloom-1b7
|
bigscience
|
2023-05-11 21:17:30
| 47,446 | 2,395,510 |
['transformers', 'pytorch', 'jax', 'safetensors', 'bloom', 'text-generation', 'ak', 'ar', 'as', 'bm', 'bn', 'ca', 'code', 'en', 'es', 'eu', 'fon', 'fr', 'gu', 'hi', 'id', 'ig', 'ki', 'kn', 'lg', 'ln', 'ml', 'mr', 'ne', 'nso', 'ny', 'or', 'pa', 'pt', 'rn', 'rw', 'sn', 'st', 'sw', 'ta', 'te', 'tn', 'ts', 'tum', 'tw', 'ur', 'vi', 'wo', 'xh', 'yo', 'zh', 'zhs', 'zht', 'zu', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-05-19 11:52:06
|
unknown
|
bigscience-bloom-rail-1.0
|
BloomForCausalLM
| null |
source
|
bigscience/bloom-3b
|
bigscience
|
2023-04-14 08:43:29
| 18,634 | 636,600 |
['transformers', 'pytorch', 'safetensors', 'bloom', 'text-generation', 'ak', 'ar', 'as', 'bm', 'bn', 'ca', 'code', 'en', 'es', 'eu', 'fon', 'fr', 'gu', 'hi', 'id', 'ig', 'ki', 'kn', 'lg', 'ln', 'ml', 'mr', 'ne', 'nso', 'ny', 'or', 'pa', 'pt', 'rn', 'rw', 'sn', 'st', 'sw', 'ta', 'te', 'tn', 'ts', 'tum', 'tw', 'ur', 'vi', 'wo', 'xh', 'yo', 'zh', 'zhs', 'zht', 'zu', 'model-index', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-05-19 11:52:27
|
unknown
|
bigscience-bloom-rail-1.0
|
BloomForCausalLM
| null |
unknown
|
pszemraj/opt-350m-email-generation
|
pszemraj
|
2023-03-18 23:38:08
| 272 | 5,493 |
['transformers', 'pytorch', 'safetensors', 'opt', 'text-generation', 'generated_from_trainer', 'custom-license', 'no-commercial', 'email', 'auto-complete', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-05-19 17:40:35
|
aeslc
|
other
|
OPTForCausalLM
| null |
unknown
|
nreimers/mmarco-mMiniLMv2-L6-H384-v1
|
nreimers
|
2022-05-20 07:39:37
| 250 | 5,189 |
['transformers', 'pytorch', 'xlm-roberta', 'text-classification', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-20 07:38:11
|
unknown
|
unknown
|
XLMRobertaForSequenceClassification
| null |
unknown
|
Davlan/afro-xlmr-large
|
Davlan
|
2023-09-11 07:37:38
| 5,865 | 75,921 |
['transformers', 'pytorch', 'jax', 'safetensors', 'xlm-roberta', 'fill-mask', 'generated_from_trainer', 'en', 'fr', 'ar', 'ha', 'ig', 'yo', 'rn', 'rw', 'sn', 'xh', 'zu', 'om', 'am', 'so', 'st', 'ny', 'mg', 'sw', 'af', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-05-20 15:20:56
|
unknown
|
mit
|
XLMRobertaForMaskedLM
| null |
unknown
|
globuslabs/ScholarBERT
|
globuslabs
|
2023-06-28 19:59:26
| 544 | 2,750 |
['transformers', 'pytorch', 'safetensors', 'bert', 'fill-mask', 'science', 'multi-displinary', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-05-22 22:15:16
|
unknown
|
apache-2.0
|
BertForMaskedLM
| null |
unknown
|
csebuetnlp/banglat5
|
csebuetnlp
|
2022-08-21 13:59:20
| 1,573 | 29,284 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'bn', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-05-23 07:51:38
|
unknown
|
unknown
|
T5ForConditionalGeneration
| null |
unknown
|
ai4bharat/IndicNER
|
ai4bharat
|
2022-12-21 02:45:48
| 22,299 | 1,956,098 |
['transformers', 'pytorch', 'bert', 'token-classification', 'ner', 'Pytorch', 'transformer', 'multilingual', 'nlp', 'indicnlp', 'as', 'bn', 'gu', 'hi', 'kn', 'ml', 'mr', 'or', 'pa', 'ta', 'te', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-05-23 11:12:43
|
Samanantar
|
mit
|
BertForTokenClassification
| null |
unknown
|
oliverguhr/spelling-correction-english-base
|
oliverguhr
|
2023-12-18 08:46:53
| 3,047 | 293,607 |
['transformers', 'pytorch', 'tensorboard', 'onnx', 'safetensors', 'bart', 'text2text-generation', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-05-23 15:26:21
|
unknown
|
mit
|
BartForConditionalGeneration
| null |
unknown
|
eleldar/language-detection
|
eleldar
|
2022-05-24 10:06:00
| 329 | 209,567 |
['transformers', 'pytorch', 'tf', 'xlm-roberta', 'text-classification', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-24 09:30:04
|
unknown
|
mit
|
XLMRobertaForSequenceClassification
| null |
unknown
|
jonas/sdg_classifier_osdg
|
jonas
|
2022-09-20 06:46:22
| 77 | 3,503 |
['transformers', 'pytorch', 'bert', 'text-classification', 'en', 'co2_eq_emissions', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-24 11:49:08
|
jonas/osdg_sdg_data_processed
|
unknown
|
BertForSequenceClassification
| null |
unknown
|
ccdv/lsg-bart-base-4096-multinews
|
ccdv
|
2023-12-17 21:10:18
| 331 | 2,641 |
['transformers', 'pytorch', 'bart', 'text2text-generation', 'summarization', 'custom_code', 'en', 'autotrain_compatible']
|
summarization
|
2022-05-25 11:09:23
|
multi_news
|
unknown
|
LSGBartForConditionalGeneration
| null |
unknown
|
neuralmagic/oBERT-6-downstream-pruned-block4-80-squadv1
|
neuralmagic
|
2022-07-31 19:52:34
| 206 | 355 |
['transformers', 'pytorch', 'bert', 'oBERT', 'sparsity', 'pruning', 'compression', 'en', 'endpoints_compatible']
|
unknown
|
2022-05-25 14:00:18
|
squad
|
unknown
|
unknown
| null |
unknown
|
aioxlabs/dvoice-amharic
|
aioxlabs
|
2022-05-28 08:22:00
| 49 | 350 |
['speechbrain', 'wav2vec2', 'CTC', 'pytorch', 'Transformer', 'automatic-speech-recognition', 'dar']
|
automatic-speech-recognition
|
2022-05-26 12:41:35
|
commonvoice
|
apache-2.0
|
Wav2Vec2Model
| null |
unknown
|
imdanboy/jets
|
imdanboy
|
2022-05-28 16:37:49
| 20 | 2,522 |
['espnet', 'audio', 'text-to-speech', 'en']
|
text-to-speech
|
2022-05-28 16:23:06
|
ljspeech
|
cc-by-4.0
|
unknown
| null |
unknown
|
imdanboy/ljspeech_tts_train_jets_raw_phn_tacotron_g2p_en_no_space_train.total_count.ave
|
imdanboy
|
2022-05-28 16:52:35
| 5 | 704 |
['espnet', 'audio', 'text-to-speech', 'en']
|
text-to-speech
|
2022-05-28 16:51:54
|
ljspeech
|
cc-by-4.0
|
unknown
| null |
unknown
|
speechbrain/tts-tacotron2-ljspeech
|
speechbrain
|
2024-02-19 15:16:07
| 4,759 | 125,156 |
['speechbrain', 'text-to-speech', 'TTS', 'speech-synthesis', 'Tacotron2', 'en']
|
text-to-speech
|
2022-05-28 21:09:37
|
LJSpeech
|
apache-2.0
|
unknown
| null |
unknown
|
speechbrain/tts-hifigan-ljspeech
|
speechbrain
|
2024-02-25 23:08:30
| 9,252 | 228,460 |
['speechbrain', 'Vocoder', 'HiFIGAN', 'text-to-speech', 'TTS', 'speech-synthesis', 'en']
|
text-to-speech
|
2022-05-28 22:37:20
|
LJSpeech
|
apache-2.0
|
unknown
| null |
unknown
|
nickmuchi/deberta-v3-base-finetuned-finance-text-classification
|
nickmuchi
|
2023-03-19 00:32:56
| 6,144 | 35,354 |
['transformers', 'pytorch', 'tensorboard', 'safetensors', 'deberta-v2', 'text-classification', 'generated_from_trainer', 'financial-sentiment-analysis', 'sentiment-analysis', 'sentence_50agree', 'stocks', 'sentiment', 'finance', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-29 16:29:22
|
financial_phrasebank_Kaggle_Self_label_nickmuchi/financial-classification
|
mit
|
DebertaV2ForSequenceClassification
| null |
unknown
|
ahmeddbahaa/mT5_multilingual_XLSum-finetuned-fa
|
ahmeddbahaa
|
2022-06-08 15:51:15
| 88 | 667 |
['transformers', 'pytorch', 'tensorboard', 'mt5', 'text2text-generation', 'summarization', 'fa', 'Abstractive Summarization', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible']
|
summarization
|
2022-05-29 17:01:06
|
pn_summary
|
unknown
|
MT5ForConditionalGeneration
| null |
unknown
|
PrimeQA/t5-base-table-question-generator
|
PrimeQA
|
2022-08-23 12:43:46
| 198 | 2,081 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-05-30 08:43:01
|
unknown
|
apache-2.0
|
T5ForConditionalGeneration
| null |
unknown
|
apple/mobilevit-small
|
apple
|
2025-02-24 21:25:21
| 723,231 | 4,739,367 |
['transformers', 'pytorch', 'tf', 'coreml', 'mobilevit', 'image-classification', 'vision', 'autotrain_compatible', 'endpoints_compatible']
|
image-classification
|
2022-05-30 12:43:23
|
imagenet-1k
|
other
|
MobileViTForImageClassification
| null |
unknown
|
apple/deeplabv3-mobilevit-small
|
apple
|
2025-02-27 18:12:41
| 1,022 | 25,293 |
['transformers', 'pytorch', 'tf', 'coreml', 'mobilevit', 'vision', 'image-segmentation', 'endpoints_compatible']
|
image-segmentation
|
2022-05-30 12:49:24
|
pascal-voc
|
apple-amlr
|
MobileViTForSemanticSegmentation
| null |
unknown
|
AAUBS/PatentSBERTa_V2
|
AAUBS
|
2024-08-26 09:54:54
| 989 | 8,024 |
['sentence-transformers', 'pytorch', 'mpnet', 'feature-extraction', 'sentence-similarity', 'transformers', 'autotrain_compatible', 'endpoints_compatible']
|
sentence-similarity
|
2022-05-30 13:05:57
|
unknown
|
unknown
|
MPNetModel
| null |
unknown
|
M-CLIP/XLM-Roberta-Large-Vit-B-16Plus
|
M-CLIP
|
2022-09-15 10:45:56
| 75,545 | 607,479 |
['transformers', 'pytorch', 'tf', 'multilingual', 'af', 'sq', 'am', 'ar', 'az', 'bn', 'bs', 'bg', 'ca', 'zh', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fr', 'de', 'el', 'hi', 'hu', 'is', 'id', 'it', 'ja', 'mk', 'ml', 'mr', 'pl', 'pt', 'ro', 'ru', 'sr', 'sl', 'es', 'sw', 'sv', 'tl', 'te', 'tr', 'tk', 'uk', 'ur', 'ug', 'uz', 'vi', 'xh', 'endpoints_compatible']
|
unknown
|
2022-05-30 21:33:14
|
unknown
|
unknown
|
unknown
| null |
unknown
|
nghuyong/ernie-health-zh
|
nghuyong
|
2022-09-10 09:13:33
| 518 | 32,756 |
['transformers', 'pytorch', 'ernie', 'feature-extraction', 'zh', 'endpoints_compatible']
|
feature-extraction
|
2022-05-31 08:43:33
|
unknown
|
unknown
|
ErnieModel
| null |
unknown
|
M-CLIP/LABSE-Vit-L-14
|
M-CLIP
|
2022-06-02 23:26:39
| 1,733 | 26,064 |
['transformers', 'pytorch', 'tf', 'multilingual', 'endpoints_compatible']
|
unknown
|
2022-05-31 09:40:25
|
unknown
|
unknown
|
unknown
| null |
unknown
|
M-CLIP/XLM-Roberta-Large-Vit-B-32
|
M-CLIP
|
2022-09-15 10:45:49
| 19,221 | 32,122,403 |
['transformers', 'pytorch', 'tf', 'M-CLIP', 'multilingual', 'af', 'sq', 'am', 'ar', 'az', 'bn', 'bs', 'bg', 'ca', 'zh', 'hr', 'cs', 'da', 'nl', 'en', 'et', 'fr', 'de', 'el', 'hi', 'hu', 'is', 'id', 'it', 'ja', 'mk', 'ml', 'mr', 'pl', 'pt', 'ro', 'ru', 'sr', 'sl', 'es', 'sw', 'sv', 'tl', 'te', 'tr', 'tk', 'uk', 'ur', 'ug', 'uz', 'vi', 'xh', 'endpoints_compatible']
|
unknown
|
2022-05-31 09:50:54
|
unknown
|
unknown
|
SentenceModelWithLinearTransformation
| null |
unknown
|
t-bank-ai/response-quality-classifier-large
|
t-bank-ai
|
2022-06-01 06:34:44
| 172 | 13,264 |
['transformers', 'pytorch', 'roberta', 'text-classification', 'conversational', 'ru', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-05-31 10:18:01
|
unknown
|
mit
|
RobertaForSequenceClassification
| null |
unknown
|
cross-encoder/mmarco-mMiniLMv2-L12-H384-v1
|
cross-encoder
|
2024-12-12 11:30:16
| 11,707 | 370,282 |
['transformers', 'pytorch', 'safetensors', 'xlm-roberta', 'text-classification', 'en', 'ar', 'zh', 'nl', 'fr', 'de', 'hi', 'in', 'it', 'ja', 'pt', 'ru', 'es', 'vi', 'multilingual', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-06-01 08:27:31
|
unicamp-dl/mmarco
|
apache-2.0
|
XLMRobertaForSequenceClassification
| null |
unknown
|
classla/bcms-bertic-parlasent-bcs-ter
|
classla
|
2023-06-23 06:38:11
| 209 | 2,370 |
['transformers', 'pytorch', 'safetensors', 'electra', 'text-classification', 'sentiment-analysis', 'hr', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-06-01 09:00:25
|
unknown
|
unknown
|
ElectraForSequenceClassification
| null |
unknown
|
keras-io/timeseries-anomaly-detection
|
keras-io
|
2024-07-09 13:36:33
| 62 | 1,445 |
['tf-keras', 'tensorboard', 'tabular-regression', 'time-series', 'anomaly-detection']
|
tabular-regression
|
2022-06-01 15:19:26
|
unknown
|
unknown
|
unknown
| null |
unknown
|
EleutherAI/enformer-official-rough
|
EleutherAI
|
2022-06-12 20:46:42
| 44,133 | 460,741 |
['transformers', 'pytorch', 'enformer']
|
unknown
|
2022-06-01 20:42:11
|
unknown
|
cc-by-4.0
|
Enformer
| null |
unknown
|
TencentGameMate/chinese-hubert-base
|
TencentGameMate
|
2022-06-24 01:52:57
| 2,501 | 593,639 |
['transformers', 'pytorch', 'hubert', 'feature-extraction', 'endpoints_compatible']
|
feature-extraction
|
2022-06-02 06:21:23
|
unknown
|
mit
|
HubertModel
| null |
unknown
|
TencentGameMate/chinese-hubert-large
|
TencentGameMate
|
2022-06-24 01:57:26
| 2,752 | 447,416 |
['transformers', 'pytorch', 'hubert', 'feature-extraction', 'endpoints_compatible']
|
feature-extraction
|
2022-06-02 06:22:33
|
unknown
|
mit
|
HubertModel
| null |
unknown
|
philschmid/BERT-Banking77
|
philschmid
|
2022-12-05 13:36:09
| 3,634 | 172,970 |
['transformers', 'pytorch', 'bert', 'text-classification', 'autotrain', 'en', 'model-index', 'co2_eq_emissions', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-06-02 10:37:57
|
banking77
|
unknown
|
BertForSequenceClassification
| null |
unknown
|
RUCAIBox/mtl-data-to-text
|
RUCAIBox
|
2022-06-27 02:27:10
| 522 | 18,056 |
['transformers', 'pytorch', 'mvp', 'text-generation', 'text2text-generation', 'en', 'endpoints_compatible']
|
text2text-generation
|
2022-06-02 12:01:55
|
unknown
|
apache-2.0
|
unknown
| null |
unknown
|
huggingtweets/gaytimes-grindr
|
huggingtweets
|
2022-06-02 12:50:16
| 182 | 447 |
['transformers', 'pytorch', 'gpt2', 'text-generation', 'huggingtweets', 'en', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-06-02 12:34:42
|
unknown
|
unknown
|
GPT2LMHeadModel
| null |
unknown
|
sb3/sac-Humanoid-v3
|
sb3
|
2022-10-11 15:15:36
| 36 | 11,078 |
['stable-baselines3', 'Humanoid-v3', 'deep-reinforcement-learning', 'reinforcement-learning', 'model-index']
|
reinforcement-learning
|
2022-06-02 16:44:09
|
unknown
|
unknown
|
unknown
| null |
unknown
|
sb3/dqn-SpaceInvadersNoFrameskip-v4
|
sb3
|
2022-10-11 15:17:43
| 481 | 1,421 |
['stable-baselines3', 'SpaceInvadersNoFrameskip-v4', 'deep-reinforcement-learning', 'reinforcement-learning', 'model-index']
|
reinforcement-learning
|
2022-06-02 18:22:16
|
unknown
|
unknown
|
unknown
| null |
unknown
|
agne/jobBERT-de
|
agne
|
2022-06-03 13:53:31
| 221 | 4,101 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'de', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-06-03 06:53:53
|
unknown
|
cc-by-nc-sa-4.0
|
BertForMaskedLM
| null |
unknown
|
agne/jobGBERT
|
agne
|
2022-06-03 13:52:50
| 143 | 2,244 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'de', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-06-03 09:03:44
|
unknown
|
cc-by-nc-sa-4.0
|
BertForMaskedLM
| null |
unknown
|
yanekyuk/bert-keyword-extractor
|
yanekyuk
|
2022-06-04 00:51:39
| 881 | 25,920 |
['transformers', 'pytorch', 'bert', 'token-classification', 'generated_from_trainer', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-06-03 23:06:00
|
unknown
|
apache-2.0
|
BertForTokenClassification
| null |
unknown
|
yanekyuk/camembert-keyword-extractor
|
yanekyuk
|
2022-06-04 10:28:45
| 113,084 | 910,082 |
['transformers', 'pytorch', 'camembert', 'token-classification', 'generated_from_trainer', 'fr', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-06-04 02:03:03
|
unknown
|
mit
|
CamembertForTokenClassification
| null |
unknown
|
wannaphong/wav2vec2-large-xlsr-53-th-cv8-newmm
|
wannaphong
|
2022-08-10 05:40:25
| 7,625 | 291,308 |
['transformers', 'pytorch', 'wav2vec2', 'automatic-speech-recognition', 'th', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-06-06 09:01:59
|
common_voice
|
apache-2.0
|
Wav2Vec2ForCTC
| null |
unknown
|
MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli
|
MoritzLaurer
|
2024-04-11 13:49:10
| 216,258 | 2,018,495 |
['transformers', 'pytorch', 'onnx', 'safetensors', 'deberta-v2', 'text-classification', 'zero-shot-classification', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
zero-shot-classification
|
2022-06-06 18:28:10
|
multi_nli_facebook/anli_fever_lingnli_alisawuffles/WANLI
|
mit
|
DebertaV2ForSequenceClassification
|
['microsoft/deberta-v3-large']
|
unknown_annotated
|
Theivaprakasham/layoutlmv3-finetuned-invoice
|
Theivaprakasham
|
2022-06-07 07:35:54
| 707 | 17,860 |
['transformers', 'pytorch', 'tensorboard', 'layoutlmv3', 'token-classification', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-06-07 04:11:33
|
invoice
|
unknown
|
LayoutLMv3ForTokenClassification
| null |
unknown
|
KB/bert-base-swedish-cased
|
KB
|
2022-06-07 16:31:14
| 10,649 | 1,021,874 |
['transformers', 'pytorch', 'tf', 'jax', 'bert', 'fill-mask', 'sv', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-06-07 16:28:03
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
KB/bert-base-swedish-cased-ner
|
KB
|
2022-06-07 16:34:49
| 13,365 | 1,984,588 |
['transformers', 'pytorch', 'tf', 'jax', 'bert', 'token-classification', 'sv', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-06-07 16:31:50
|
unknown
|
unknown
|
BertForTokenClassification
| null |
unknown
|
IDEA-CCNL/Randeng-T5-77M
|
IDEA-CCNL
|
2023-05-26 06:35:12
| 147 | 9,072 |
['transformers', 'pytorch', 'mt5', 'text2text-generation', 'T5', 'chinese', 'sentencepiece', 'zh', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-06-08 09:04:03
|
unknown
|
apache-2.0
|
MT5ForConditionalGeneration
| null |
unknown
|
Yehor/w2v-xls-r-uk
|
Yehor
|
2025-02-20 15:08:11
| 209,670 | 1,914,839 |
['transformers', 'safetensors', 'wav2vec2', 'automatic-speech-recognition', 'uk', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-06-08 12:31:06
|
mozilla-foundation/common_voice_10_0
|
apache-2.0
|
Wav2Vec2ForCTC
|
['facebook/wav2vec2-xls-r-300m']
|
finetune
|
MilaNLProc/hate-ita
|
MilaNLProc
|
2022-12-30 18:33:50
| 142 | 2,678 |
['transformers', 'pytorch', 'xlm-roberta', 'text-classification', 'text classification', 'abusive language', 'hate speech', 'offensive language', 'it', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-06-08 12:46:39
|
unknown
|
gpl-3.0
|
XLMRobertaForSequenceClassification
| null |
unknown
|
Jihuai/bert-ancient-chinese
|
Jihuai
|
2023-02-20 02:37:01
| 954 | 13,037 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'chinese', 'classical chinese', 'literary chinese', 'ancient chinese', 'zh', 'autotrain_compatible']
|
fill-mask
|
2022-06-09 06:18:59
|
unknown
|
apache-2.0
|
BertForMaskedLM
| null |
unknown
|
rifkat/GPTuz
|
rifkat
|
2022-12-07 11:13:25
| 199 | 831 |
['transformers', 'pytorch', 'tf', 'gpt2', 'text-generation', 'Text Generation', 'PyTorch', 'TensorFlow', 'Transformers', 'mit', 'uz', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-06-09 08:07:46
|
unknown
|
apache-2.0
|
GPT2LMHeadModel
| null |
unknown
|
biu-nlp/lingmess-coref
|
biu-nlp
|
2022-10-26 08:55:32
| 159,740 | 276,589 |
['transformers', 'pytorch', 'longformer', 'coreference-resolution', 'en', 'model-index', 'endpoints_compatible']
|
unknown
|
2022-06-09 19:05:32
|
ontonotes
|
mit
|
LingMessCoref
| null |
unknown
|
speechbrain/asr-wav2vec2-dvoice-darija
|
speechbrain
|
2024-02-19 13:52:44
| 113 | 1,290 |
['speechbrain', 'wav2vec2', 'CTC', 'pytorch', 'Transformer', 'automatic-speech-recognition', 'dar']
|
automatic-speech-recognition
|
2022-06-09 19:09:28
|
Dvoice
|
apache-2.0
|
Wav2Vec2Model
| null |
unknown
|
z-dickson/CAP_coded_US_Congressional_bills
|
z-dickson
|
2022-06-09 20:56:09
| 82 | 636 |
['transformers', 'tf', 'bert', 'text-classification', 'generated_from_keras_callback', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-06-09 20:06:53
|
unknown
|
unknown
|
BertForSequenceClassification
| null |
unknown
|
nthakur/contriever-base-msmarco
|
nthakur
|
2022-06-09 22:01:51
| 567 | 32,296 |
['sentence-transformers', 'pytorch', 'bert', 'feature-extraction', 'sentence-similarity', 'transformers', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']
|
sentence-similarity
|
2022-06-09 21:50:15
|
unknown
|
unknown
|
BertModel
| null |
unknown
|
TurkuNLP/bert-large-finnish-cased-v1
|
TurkuNLP
|
2022-06-10 08:46:17
| 216 | 10,951 |
['transformers', 'pytorch', 'fi', 'endpoints_compatible']
|
unknown
|
2022-06-10 07:53:16
|
unknown
|
apache-2.0
|
unknown
| null |
unknown
|
keras-io/Object-Detection-RetinaNet
|
keras-io
|
2024-07-05 12:47:43
| 41 | 958 |
['tf-keras', 'tensorboard', 'ObjectDetection', 'RetinaNet', 'ResNet50', 'ObjectClassification', 'Feature Pyramid Network', 'object-detection']
|
object-detection
|
2022-06-10 10:11:44
|
unknown
|
unknown
|
unknown
| null |
unknown
|
facebook/roberta-hate-speech-dynabench-r4-target
|
facebook
|
2023-03-16 20:03:57
| 1,286,842 | 12,728,126 |
['transformers', 'pytorch', 'safetensors', 'roberta', 'text-classification', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-06-10 22:24:39
|
unknown
|
unknown
|
RobertaForSequenceClassification
| null |
unknown
|
keras-io/tab_transformer
|
keras-io
|
2024-07-09 13:36:17
| 55 | 637 |
['tf-keras', 'tensorboard', 'tabular-classification', 'transformer']
|
tabular-classification
|
2022-06-11 14:12:07
|
unknown
|
unknown
|
unknown
| null |
unknown
|
keras-io/timeseries_forecasting_for_weather
|
keras-io
|
2024-07-09 13:36:11
| 63 | 614 |
['tf-keras', 'tensorboard', 'time-series', 'time-series-forecasting']
|
time-series-forecasting
|
2022-06-12 05:30:57
|
unknown
|
unknown
|
unknown
| null |
unknown
|
bob80333/stylegan3-t-animefaces
|
bob80333
|
2022-06-13 21:31:20
| 0 | 0 |
[]
|
unknown
|
2022-06-13 21:28:33
|
unknown
|
mit
|
unknown
| null |
unknown
|
microsoft/swinv2-tiny-patch4-window16-256
|
microsoft
|
2022-12-10 10:09:55
| 341,248 | 3,486,358 |
['transformers', 'pytorch', 'swinv2', 'image-classification', 'vision', 'autotrain_compatible', 'endpoints_compatible']
|
image-classification
|
2022-06-14 06:17:52
|
imagenet-1k
|
apache-2.0
|
Swinv2ForImageClassification
| null |
unknown
|
ahmeddbahaa/mt5-base-finetuned-fa
|
ahmeddbahaa
|
2022-06-14 17:07:35
| 154 | 512 |
['transformers', 'pytorch', 'tensorboard', 'mt5', 'text2text-generation', 'summarization', 'fa', 'Abstractive Summarization', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible']
|
summarization
|
2022-06-14 06:28:57
|
pn_summary
|
apache-2.0
|
MT5ForConditionalGeneration
| null |
unknown
|
eslamxm/mt5-base-finetuned-Spanish
|
eslamxm
|
2022-06-15 05:13:08
| 335 | 1,132 |
['transformers', 'pytorch', 'tensorboard', 'mt5', 'text2text-generation', 'summarization', 'es', 'spanish', 'abstractive summarization', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible']
|
summarization
|
2022-06-14 18:45:17
|
wiki_lingua
|
apache-2.0
|
MT5ForConditionalGeneration
| null |
unknown
|
Addedk/mbert-swedish-distilled-cased
|
Addedk
|
2023-09-13 17:57:54
| 60 | 1,565 |
['transformers', 'pytorch', 'tf', 'safetensors', 'bert', 'fill-mask', 'multilingual', 'sv', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-06-15 12:22:20
|
KBLab/sucx3_ner
|
apache-2.0
|
BertForMaskedLM
| null |
unknown
|
Subsets and Splits
FLUX.1-dev Adapter Models
The query performs basic filtering to retrieve specific entries related to a particular base model, which provides limited analytical value.
FLUX.1-dev Adapter Models
This query retrieves a limited number of entries where the base model is from a specific vendor and relation is 'adapter', which provides basic filtering but limited analytical value.