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⌀ | base_model_relation
stringclasses 11
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
openai/jukebox-1b-lyrics
|
openai
|
2022-11-10 19:20:07
| 203 | 19,843 |
['transformers', 'pytorch', 'jukebox', 'feature-extraction', 'endpoints_compatible']
|
feature-extraction
|
2022-08-10 16:58:14
|
unknown
|
unknown
|
JukeboxModel
| null |
unknown
|
BVK97/Discord-NFT-Sentiment
|
BVK97
|
2022-08-25 09:11:42
| 140 | 3,914 |
['transformers', 'pytorch', 'roberta', 'text-classification', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-08-11 15:33:38
|
unknown
|
unknown
|
RobertaForSequenceClassification
| null |
unknown
|
Helsinki-NLP/opus-mt-tc-big-en-ko
|
Helsinki-NLP
|
2023-10-10 10:29:58
| 7,038 | 37,252 |
['transformers', 'pytorch', 'tf', 'safetensors', 'marian', 'text2text-generation', 'translation', 'opus-mt-tc', 'en', 'ko', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-08-12 08:02:12
|
unknown
|
cc-by-4.0
|
MarianMTModel
| null |
unknown
|
s3prl/converted_ckpts
|
s3prl
|
2022-12-04 21:43:53
| 0 | 0 |
[]
|
unknown
|
2022-08-12 09:56:16
|
unknown
|
unknown
|
unknown
| null |
unknown
|
LTP/base1
|
LTP
|
2022-09-19 06:36:16
| 8,702 | 163,038 |
['transformers', 'pytorch', 'endpoints_compatible']
|
unknown
|
2022-08-14 04:35:09
|
unknown
|
unknown
|
unknown
| null |
unknown
|
LTP/base2
|
LTP
|
2022-09-19 06:36:21
| 812 | 40,804 |
['transformers', 'pytorch', 'endpoints_compatible']
|
unknown
|
2022-08-14 04:36:19
|
unknown
|
unknown
|
unknown
| null |
unknown
|
Dimitre/universal-sentence-encoder
|
Dimitre
|
2022-08-18 17:17:01
| 0 | 0 |
['tfhub', 'tf-keras', 'text', 'sentence-similarity', 'use', 'universal-sentence-encoder', 'dan', 'tensorflow', 'en']
|
sentence-similarity
|
2022-08-14 19:44:46
|
unknown
|
apache-2.0
|
unknown
| null |
unknown
|
wannaphong/khanomtan-tts-v1.0
|
wannaphong
|
2022-08-25 12:15:13
| 373 | 4,225 |
['transformers', 'tensorboard', 'endpoints_compatible']
|
unknown
|
2022-08-17 06:31:07
|
unknown
|
cc-by-nc-sa-3.0
|
unknown
| null |
unknown
|
nafisehNik/mt5-persian-summary
|
nafisehNik
|
2023-11-07 19:26:52
| 569 | 6,687 |
['transformers', 'pytorch', 'mt5', 'text2text-generation', 'summarization', 'fa', 'autotrain_compatible', 'endpoints_compatible']
|
summarization
|
2022-08-17 15:14:10
|
pn_summary_csebuetnlp/xlsum
|
mit
|
MT5ForConditionalGeneration
| null |
unknown
|
mechanicalsea/speecht5-tts
|
mechanicalsea
|
2023-02-08 14:09:49
| 0 | 0 |
['speech', 'text', 'cross-modal', 'unified model', 'self-supervised learning', 'SpeechT5', 'Text-to-Speech', 'text-to-speech']
|
text-to-speech
|
2022-08-18 09:05:43
|
LibriTTS
|
mit
|
unknown
| null |
unknown
|
nickmuchi/yolos-small-finetuned-license-plate-detection
|
nickmuchi
|
2023-01-10 02:57:56
| 4,400 | 235,090 |
['transformers', 'pytorch', 'yolos', 'object-detection', 'license-plate-detection', 'vehicle-detection', 'en', 'endpoints_compatible']
|
object-detection
|
2022-08-18 13:21:39
|
unknown
|
unknown
|
YolosForObjectDetection
| null |
unknown
|
nlpie/compact-biobert
|
nlpie
|
2024-03-26 16:53:37
| 104,074 | 984,849 |
['transformers', 'pytorch', 'bert', 'fill-mask', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-08-18 23:55:05
|
unknown
|
mit
|
BertForMaskedLM
| null |
unknown
|
CompVis/stable-diffusion-v1-1
|
CompVis
|
2023-07-05 16:18:08
| 20,500 | 203,089 |
['diffusers', 'stable-diffusion', 'stable-diffusion-diffusers', 'text-to-image', 'autotrain_compatible']
|
text-to-image
|
2022-08-19 10:24:23
|
unknown
|
creativeml-openrail-m
|
unknown
| null |
unknown
|
CompVis/stable-diffusion-v1-2
|
CompVis
|
2023-07-05 16:18:11
| 1,945 | 126,075 |
['diffusers', 'stable-diffusion', 'stable-diffusion-diffusers', 'text-to-image', 'autotrain_compatible']
|
text-to-image
|
2022-08-19 10:24:37
|
unknown
|
creativeml-openrail-m
|
unknown
|
['CompVis/stable-diffusion-v1-1']
|
unknown_annotated
|
biu-nlp/f-coref
|
biu-nlp
|
2022-11-28 11:35:52
| 100,072 | 2,002,262 |
['transformers', 'pytorch', 'roberta', 'fast', 'coreference-resolution', 'en', 'model-index', 'endpoints_compatible']
|
unknown
|
2022-08-19 12:01:10
|
multi_news_ontonotes
|
mit
|
FastCorefModel
| null |
unknown
|
skytnt/anime-seg
|
skytnt
|
2024-10-18 08:01:38
| 187 | 463 |
['anime_segmentation', 'onnx', 'safetensors', 'image-segmentation', 'model_hub_mixin', 'pytorch_model_hub_mixin']
|
image-segmentation
|
2022-08-20 03:56:08
|
unknown
|
unknown
|
unknown
| null |
unknown
|
sachin/tiny_clip
|
sachin
|
2024-05-05 07:46:52
| 0 | 0 |
['zero-shot-image-classification', 'en']
|
zero-shot-image-classification
|
2022-08-20 11:44:12
|
coco2017
|
mit
|
unknown
| null |
unknown
|
farleyknight-org-username/vit-base-mnist
|
farleyknight-org-username
|
2022-08-31 14:55:56
| 1,931 | 63,724 |
['transformers', 'pytorch', 'tensorboard', 'vit', 'image-classification', 'vision', 'generated_from_trainer', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
image-classification
|
2022-08-21 16:48:27
|
mnist
|
apache-2.0
|
ViTForImageClassification
| null |
unknown
|
lighthouse/mdeberta-v3-base-kor-further
|
lighthouse
|
2023-07-19 08:12:05
| 3,046 | 74,665 |
['transformers', 'pytorch', 'deberta-v2', 'deberta', 'deberta-v3', 'mdeberta', 'korean', 'pretraining', 'multilingual', 'en', 'ko', 'ar', 'bg', 'de', 'el', 'es', 'fr', 'hi', 'ru', 'sw', 'th', 'tr', 'ur', 'vi', 'zh', 'endpoints_compatible']
|
unknown
|
2022-08-22 02:12:13
|
unknown
|
mit
|
unknown
| null |
unknown
|
nghuyong/ernie-3.0-base-zh
|
nghuyong
|
2022-09-10 08:45:06
| 10,812 | 525,531 |
['transformers', 'pytorch', 'ernie', 'fill-mask', 'zh', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-08-22 07:54:44
|
unknown
|
unknown
|
ErnieForMaskedLM
| null |
unknown
|
nghuyong/ernie-3.0-medium-zh
|
nghuyong
|
2022-09-10 08:57:06
| 307 | 12,728 |
['transformers', 'pytorch', 'ernie', 'fill-mask', 'zh', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-08-22 09:29:01
|
unknown
|
unknown
|
ErnieForMaskedLM
| null |
unknown
|
nghuyong/ernie-3.0-mini-zh
|
nghuyong
|
2022-09-10 09:05:02
| 268 | 7,871 |
['transformers', 'pytorch', 'ernie', 'feature-extraction', 'zh', 'endpoints_compatible']
|
feature-extraction
|
2022-08-22 09:33:09
|
unknown
|
unknown
|
ErnieModel
| null |
unknown
|
nghuyong/ernie-3.0-micro-zh
|
nghuyong
|
2022-09-10 08:59:03
| 141 | 3,634 |
['transformers', 'pytorch', 'ernie', 'feature-extraction', 'zh', 'endpoints_compatible']
|
feature-extraction
|
2022-08-22 09:36:10
|
unknown
|
unknown
|
ErnieModel
| null |
unknown
|
nghuyong/ernie-3.0-nano-zh
|
nghuyong
|
2022-09-10 09:02:42
| 446 | 61,373 |
['transformers', 'pytorch', 'ernie', 'feature-extraction', 'zh', 'endpoints_compatible']
|
feature-extraction
|
2022-08-22 09:39:34
|
unknown
|
unknown
|
ErnieModel
| null |
unknown
|
CompVis/stable-diffusion-safety-checker
|
CompVis
|
2022-11-25 17:21:38
| 1,325,011 | 87,165,131 |
['transformers', 'pytorch', 'clip', 'endpoints_compatible']
|
unknown
|
2022-08-22 10:22:34
|
unknown
|
unknown
|
SafetyChecker
|
['openai/clip-vit-large-patch14']
|
unknown_annotated
|
MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
|
MoritzLaurer
|
2024-04-11 13:49:19
| 141,276 | 3,998,459 |
['transformers', 'pytorch', 'onnx', 'safetensors', 'deberta-v2', 'text-classification', 'zero-shot-classification', 'nli', 'multilingual', 'zh', 'ja', 'ar', 'ko', 'de', 'fr', 'es', 'pt', 'hi', 'id', 'it', 'tr', 'ru', 'bn', 'ur', 'mr', 'ta', 'vi', 'fa', 'pl', 'uk', 'nl', 'sv', 'he', 'sw', 'ps', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
zero-shot-classification
|
2022-08-22 16:59:35
|
MoritzLaurer/multilingual-NLI-26lang-2mil7_xnli_multi_nli_facebook/anli_fever_lingnli_alisawuffles/WANLI
|
mit
|
DebertaV2ForSequenceClassification
| null |
unknown
|
mechanicalsea/speecht5-vc
|
mechanicalsea
|
2023-02-08 14:02:35
| 0 | 0 |
['speech', 'text', 'cross-modal', 'unified model', 'self-supervised learning', 'SpeechT5', 'Voice Conversion']
|
unknown
|
2022-08-25 09:24:52
|
CMUARCTIC_bdl_clb_rms_slt
|
mit
|
unknown
| null |
unknown
|
GAIR/rst-fact-retrieval-11b
|
GAIR
|
2022-09-04 01:42:36
| 32 | 323 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-08-29 03:57:11
|
unknown
|
afl-3.0
|
T5ForConditionalGeneration
| null |
unknown
|
abeja/gpt2-large-japanese
|
abeja
|
2022-08-29 07:10:11
| 849 | 24,256 |
['transformers', 'pytorch', 'tf', 'gpt2', 'text-generation', 'ja', 'japanese', 'lm', 'nlp', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-08-29 05:17:36
|
cc100_wikipedia_oscar
|
mit
|
GPT2LMHeadModel
| null |
unknown
|
recogna-nlp/ptt5-base-summ-xlsum
|
recogna-nlp
|
2024-01-02 19:49:45
| 3,528 | 48,130 |
['transformers', 'pytorch', 'safetensors', 't5', 'text2text-generation', 'pt', 'pt-br', 'summarization', 'abstractive summarization', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
summarization
|
2022-08-29 20:18:03
|
csebuetnlp/xlsum
|
mit
|
T5ForConditionalGeneration
| null |
unknown
|
melll-uff/bertweetbr
|
melll-uff
|
2022-10-04 14:00:33
| 173 | 3,423 |
['transformers', 'pytorch', 'roberta', 'fill-mask', 'pt', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-08-29 21:10:30
|
unknown
|
apache-2.0
|
RobertaForMaskedLM
| null |
unknown
|
GAIR/rst-information-extraction-11b
|
GAIR
|
2022-09-04 01:43:15
| 178 | 721 |
['transformers', 'pytorch', 't5', 'text2text-generation', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-08-30 16:01:47
|
unknown
|
afl-3.0
|
T5ForConditionalGeneration
| null |
unknown
|
RussianNLP/ruRoBERTa-large-rucola
|
RussianNLP
|
2022-08-30 20:23:10
| 931 | 79,285 |
['transformers', 'pytorch', 'roberta', 'text-classification', 'ru', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-08-30 19:54:51
|
unknown
|
apache-2.0
|
RobertaForSequenceClassification
| null |
unknown
|
rinna/japanese-gpt-neox-small
|
rinna
|
2024-07-20 07:53:40
| 1,407 | 588,369 |
['transformers', 'pytorch', 'safetensors', 'gpt_neox', 'text-generation', 'gpt-neox', 'lm', 'nlp', 'ja', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-08-31 05:58:25
|
cc100_Wikipedia_mc4
|
mit
|
GPTNeoXForCausalLM
| null |
unknown
|
Langboat/bloom-1b4-zh
|
Langboat
|
2023-05-08 03:39:33
| 2,827 | 67,206 |
['transformers', 'pytorch', 'safetensors', 'bloom', 'text-generation', 'zh', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-08-31 06:49:32
|
unknown
|
bigscience-bloom-rail-1.0
|
BloomForCausalLM
| null |
unknown
|
Carve/tracer_b7
|
Carve
|
2023-09-19 10:31:03
| 0 | 0 |
[]
|
unknown
|
2022-09-01 15:43:56
|
unknown
|
apache-2.0
|
unknown
| null |
unknown
|
Wyona/message-classification-question-other-smalltalk-modified
|
Wyona
|
2022-09-29 08:08:58
| 79 | 2,814 |
['transformers', 'pytorch', 'distilbert', 'text-classification', 'message-classification', 'question-detection', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-09-02 09:26:22
|
unknown
|
apache-2.0
|
DistilBertForSequenceClassification
| null |
unknown
|
lambdalabs/stable-diffusion-image-conditioned
|
lambdalabs
|
2022-09-16 12:56:44
| 0 | 0 |
['stable-diffusion', 'stable-diffusion-diffusers', 'image-to-image']
|
image-to-image
|
2022-09-02 09:42:07
|
ChristophSchuhmann/improved_aesthetics_6plus
|
other
|
unknown
| null |
unknown
|
KoboldAI/GPT-NeoX-20B-Erebus
|
KoboldAI
|
2022-09-26 19:05:19
| 4,227 | 538,849 |
['transformers', 'pytorch', 'gpt_neox', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-09-02 18:07:19
|
unknown
|
apache-2.0
|
GPTNeoXForCausalLM
| null |
unknown
|
rinna/japanese-stable-diffusion
|
rinna
|
2024-08-31 14:57:46
| 15 | 67,785 |
['diffusers', 'safetensors', 'stable-diffusion', 'stable-diffusion-diffusers', 'text-to-image', 'ja']
|
text-to-image
|
2022-09-06 08:48:07
|
unknown
|
creativeml-openrail-m
|
unknown
|
['CompVis/stable-diffusion-v1-4']
|
finetune
|
impira/layoutlm-invoices
|
impira
|
2023-03-25 20:21:25
| 4,948 | 311,999 |
['transformers', 'pytorch', 'safetensors', 'layoutlm', 'document-question-answering', 'pdf', 'invoices', 'en', 'endpoints_compatible']
|
document-question-answering
|
2022-09-06 17:49:13
|
unknown
|
cc-by-nc-sa-4.0
|
LayoutLMForQuestionAnswering
| null |
unknown
|
julian-schelb/roberta-ner-multilingual
|
julian-schelb
|
2023-06-30 16:08:05
| 699 | 10,411 |
['transformers', 'pytorch', 'safetensors', 'xlm-roberta', 'token-classification', 'roberta', 'ner', 'nlp', 'en', 'de', 'fr', 'zh', 'it', 'es', 'hi', 'bn', 'ar', 'ru', 'uk', 'pt', 'ur', 'id', 'ja', 'ne', 'nl', 'tr', 'ca', 'bg', 'yue', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-09-06 19:53:00
|
wikiann
|
mit
|
XLMRobertaForTokenClassification
| null |
unknown
|
microsoft/xclip-base-patch16
|
microsoft
|
2024-10-28 06:59:56
| 5,799 | 36,839 |
['transformers', 'pytorch', 'safetensors', 'xclip', 'feature-extraction', 'vision', 'video-classification', 'en', 'model-index', 'endpoints_compatible']
|
video-classification
|
2022-09-07 14:55:19
|
unknown
|
mit
|
XCLIPModel
| null |
unknown
|
microsoft/xclip-base-patch16-zero-shot
|
microsoft
|
2023-09-12 12:13:40
| 16,865 | 612,570 |
['transformers', 'pytorch', 'safetensors', 'xclip', 'feature-extraction', 'vision', 'video-classification', 'en', 'model-index', 'endpoints_compatible']
|
video-classification
|
2022-09-07 17:52:51
|
unknown
|
mit
|
XCLIPModel
| null |
unknown
|
sd-concepts-library/kuvshinov
|
sd-concepts-library
|
2022-09-08 10:33:05
| 0 | 0 |
[]
|
unknown
|
2022-09-08 10:32:59
|
unknown
|
mit
|
unknown
| null |
unknown
|
microsoft/xclip-base-patch16-kinetics-600
|
microsoft
|
2022-09-08 11:40:25
| 5,264 | 10,714 |
['transformers', 'pytorch', 'xclip', 'feature-extraction', 'vision', 'video-classification', 'en', 'model-index', 'endpoints_compatible']
|
video-classification
|
2022-09-08 11:15:42
|
unknown
|
mit
|
XCLIPModel
| null |
unknown
|
cjber/reddit-ner-place_names
|
cjber
|
2023-10-31 11:24:02
| 225 | 34,245 |
['transformers', 'pytorch', 'safetensors', 'bert', 'token-classification', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-09-08 12:07:27
|
wnut_17
|
mit
|
BertForTokenClassification
| null |
unknown
|
sd-concepts-library/line-art
|
sd-concepts-library
|
2022-09-08 19:30:01
| 0 | 0 |
[]
|
unknown
|
2022-09-08 19:29:47
|
unknown
|
mit
|
unknown
| null |
unknown
|
microsoft/conditional-detr-resnet-50
|
microsoft
|
2024-05-08 07:48:26
| 15,896 | 117,369 |
['transformers', 'pytorch', 'safetensors', 'conditional_detr', 'object-detection', 'vision', 'endpoints_compatible']
|
object-detection
|
2022-09-09 06:11:40
|
coco
|
apache-2.0
|
ConditionalDETRForObjectDetection
| null |
unknown
|
KoboldAI/OPT-13B-Erebus
|
KoboldAI
|
2022-09-09 13:54:35
| 7,737 | 726,009 |
['transformers', 'pytorch', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-09-09 09:11:05
|
unknown
|
other
|
OPTForCausalLM
| null |
unknown
|
has-abi/extended_distilBERT-finetuned-resumes-sections
|
has-abi
|
2022-09-09 16:12:23
| 244 | 10,326 |
['transformers', 'pytorch', 'distilbert', 'text-classification', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-09-09 10:36:02
|
unknown
|
apache-2.0
|
DistilBertForSequenceClassification
| null |
unknown
|
lambdalabs/sd-image-variations-diffusers
|
lambdalabs
|
2023-02-08 15:10:13
| 57,608 | 1,689,909 |
['diffusers', 'stable-diffusion', 'stable-diffusion-diffusers', 'image-to-image']
|
image-to-image
|
2022-09-09 14:53:35
|
ChristophSchuhmann/improved_aesthetics_6plus
|
creativeml-openrail-m
|
unknown
| null |
unknown
|
sd-concepts-library/tony-diterlizzi-s-planescape-art
|
sd-concepts-library
|
2022-09-09 15:30:23
| 0 | 0 |
[]
|
unknown
|
2022-09-09 15:30:08
|
unknown
|
mit
|
unknown
| null |
unknown
|
mlaricheva/roberta-psych
|
mlaricheva
|
2022-09-14 23:37:07
| 38 | 2,187 |
['transformers', 'pytorch', 'roberta', 'fill-mask', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-09-09 22:44:25
|
unknown
|
unknown
|
RobertaForMaskedLM
| null |
unknown
|
sd-concepts-library/depthmap
|
sd-concepts-library
|
2022-09-10 01:21:41
| 0 | 0 |
[]
|
unknown
|
2022-09-10 01:21:28
|
unknown
|
mit
|
unknown
| null |
unknown
|
law-ai/InLegalBERT
|
law-ai
|
2023-05-11 14:06:48
| 23,476 | 457,980 |
['transformers', 'pytorch', 'bert', 'pretraining', 'legal', 'fill-mask', 'en', 'endpoints_compatible']
|
fill-mask
|
2022-09-11 12:30:25
|
unknown
|
mit
|
BertForPreTraining
| null |
unknown
|
Yehor/kenlm-uk
|
Yehor
|
2025-02-19 13:01:34
| 0 | 0 |
['audio', 'text-generation', 'uk']
|
text-generation
|
2022-09-11 20:52:46
|
unknown
|
cc-by-nc-sa-4.0
|
unknown
| null |
unknown
|
aiknowyou/all-mpnet-base-questions-clustering-en
|
aiknowyou
|
2022-09-13 11:56:06
| 94 | 1,553 |
['sentence-transformers', 'pytorch', 'mpnet', 'feature-extraction', 'sentence-similarity', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
sentence-similarity
|
2022-09-13 11:46:26
|
quora_embedding-data/WikiAnswers_flax-sentence-embeddings/stackexchange_xml
|
cc-by-nc-sa-4.0
|
MPNetModel
| null |
unknown
|
BlinkDL/rwkv-4-pile-7b
|
BlinkDL
|
2023-06-15 21:55:18
| 0 | 0 |
['pytorch', 'text-generation', 'causal-lm', 'rwkv', 'en']
|
text-generation
|
2022-09-14 14:04:38
|
the_pile
|
apache-2.0
|
unknown
| null |
unknown
|
laion/CLIP-ViT-B-32-laion2B-s34B-b79K
|
laion
|
2025-01-22 04:41:33
| 1,403,787 | 75,567,021 |
['open_clip', 'pytorch', 'safetensors', 'clip', 'zero-shot-image-classification']
|
zero-shot-image-classification
|
2022-09-14 22:49:28
|
unknown
|
mit
|
CLIPModel
| null |
unknown
|
laion/CLIP-ViT-L-14-laion2B-s32B-b82K
|
laion
|
2024-01-16 22:57:44
| 137,452 | 2,172,625 |
['open_clip', 'pytorch', 'tensorboard', 'safetensors', 'clip', 'zero-shot-image-classification']
|
zero-shot-image-classification
|
2022-09-14 22:51:37
|
unknown
|
mit
|
CLIPModel
| null |
unknown
|
laion/CLIP-ViT-H-14-laion2B-s32B-b79K
|
laion
|
2025-01-22 04:38:44
| 1,235,594 | 34,720,322 |
['open_clip', 'pytorch', 'safetensors', 'clip', 'zero-shot-image-classification']
|
zero-shot-image-classification
|
2022-09-14 22:52:28
|
unknown
|
mit
|
CLIPModel
| null |
unknown
|
laion/CLIP-ViT-g-14-laion2B-s12B-b42K
|
laion
|
2024-02-23 17:06:28
| 48,224 | 822,403 |
['open_clip', 'pytorch', 'safetensors', 'clip']
|
unknown
|
2022-09-14 22:53:40
|
unknown
|
mit
|
CLIPModel
| null |
unknown
|
slone/mbart-large-51-myv-mul-v1
|
slone
|
2023-06-13 09:38:10
| 21 | 620 |
['transformers', 'pytorch', 'safetensors', 'mbart', 'text2text-generation', 'erzya', 'mordovian', 'translation', 'myv', 'ru', 'fi', 'de', 'es', 'en', 'hi', 'zh', 'tr', 'uk', 'fr', 'ar', 'autotrain_compatible', 'endpoints_compatible']
|
translation
|
2022-09-15 05:55:21
|
slone/myv_ru_2022_yhavinga/ccmatrix
|
cc-by-sa-4.0
|
MBartForConditionalGeneration
| null |
unknown
|
EleutherAI/polyglot-ko-1.3b
|
EleutherAI
|
2023-06-07 05:03:00
| 67,192 | 891,325 |
['transformers', 'pytorch', 'safetensors', 'gpt_neox', 'text-generation', 'causal-lm', 'ko', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-09-15 06:10:18
|
unknown
|
apache-2.0
|
GPTNeoXForCausalLM
| null |
unknown
|
KoboldAI/OPT-6.7B-Erebus
|
KoboldAI
|
2022-09-19 06:55:22
| 6,178 | 805,502 |
['transformers', 'pytorch', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-09-15 06:27:38
|
unknown
|
other
|
OPTForCausalLM
| null |
unknown
|
yandex/RuLeanALBERT
|
yandex
|
2022-09-15 09:16:42
| 110 | 3,093 |
['transformers', 'lean_albert', 'fill-mask', 'ru', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-09-15 06:41:21
|
unknown
|
apache-2.0
|
LeanAlbertForMaskedLM
| null |
unknown
|
inkoziev/rugpt_chitchat
|
inkoziev
|
2022-10-19 07:44:11
| 154 | 9,764 |
['transformers', 'pytorch', 'gpt2', 'text-generation', 'PyTorch', 'Transformers', 'ru', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-09-15 07:20:18
|
unknown
|
unlicense
|
GPT2LMHeadModel
| null |
unknown
|
SamLowe/roberta-base-go_emotions
|
SamLowe
|
2023-10-04 10:00:58
| 473,013 | 86,893,862 |
['transformers', 'pytorch', 'safetensors', 'roberta', 'text-classification', 'emotions', 'multi-class-classification', 'multi-label-classification', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-09-15 13:04:21
|
go_emotions
|
mit
|
RobertaForSequenceClassification
|
['FacebookAI/roberta-base']
|
unknown_annotated
|
sd-concepts-library/csgo-awp-texture-map
|
sd-concepts-library
|
2022-09-16 00:32:03
| 0 | 0 |
[]
|
unknown
|
2022-09-16 00:31:57
|
unknown
|
mit
|
unknown
| null |
unknown
|
Bingsu/clip-vit-base-patch32-ko
|
Bingsu
|
2022-11-08 11:02:10
| 2,386 | 1,367,177 |
['transformers', 'pytorch', 'tf', 'safetensors', 'clip', 'zero-shot-image-classification', 'ko', 'endpoints_compatible']
|
zero-shot-image-classification
|
2022-09-16 05:18:05
|
unknown
|
mit
|
CLIPModel
| null |
unknown
|
viola77data/recycling
|
viola77data
|
2022-09-16 07:43:19
| 6 | 119 |
['tf-keras']
|
unknown
|
2022-09-16 06:19:33
|
unknown
|
apache-2.0
|
unknown
| null |
unknown
|
speechbrain/sepformer-libri3mix
|
speechbrain
|
2024-02-25 17:16:44
| 1,353 | 10,131 |
['speechbrain', 'Source Separation', 'Speech Separation', 'Audio Source Separation', 'Libri3Mix', 'SepFormer', 'Transformer', 'audio-to-audio', 'audio-source-separation', 'en']
|
audio-to-audio
|
2022-09-16 18:43:58
|
Libri3Mix
|
apache-2.0
|
unknown
| null |
unknown
|
Charangan/MedBERT
|
Charangan
|
2023-01-13 11:53:33
| 1,909 | 409,151 |
['transformers', 'pytorch', 'bert', 'pretraining', 'fill-mask', 'en', 'endpoints_compatible']
|
fill-mask
|
2022-09-17 05:52:42
|
unknown
|
mit
|
BertForPreTraining
| null |
unknown
|
bigscience/bloomz
|
bigscience
|
2024-07-19 03:29:13
| 3,390 | 125,359 |
['transformers', 'pytorch', 'tensorboard', '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', 'zu', 'model-index', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-09-17 10:48:39
|
bigscience/xP3
|
bigscience-bloom-rail-1.0
|
BloomForCausalLM
| null |
unknown
|
vangenugtenr/autobiographical_interview_scoring
|
vangenugtenr
|
2022-09-17 20:39:50
| 105 | 4,260 |
['transformers', 'tf', 'distilbert', 'text-classification', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-09-17 20:31:46
|
unknown
|
cc-by-nc-sa-4.0
|
DistilBertForSequenceClassification
| null |
unknown
|
shailja/fine-tuned-codegen-2B-Verilog
|
shailja
|
2023-08-30 17:00:16
| 342 | 16,572 |
['transformers', 'pytorch', 'codegen', 'text-generation', 'code', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
text-generation
|
2022-09-18 18:32:28
|
shailja/Verilog_GitHub
|
bigcode-openrail-m
|
CodeGenForCausalLM
| null |
unknown
|
shailja/fine-tuned-codegen-6B-Verilog
|
shailja
|
2023-08-30 16:58:08
| 264 | 3,647 |
['transformers', 'pytorch', 'codegen', 'text-generation', 'code', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
text-generation
|
2022-09-18 18:43:51
|
shailja/Verilog_GitHub
|
bigcode-openrail-m
|
CodeGenForCausalLM
| null |
unknown
|
KoboldAI/OPT-2.7B-Erebus
|
KoboldAI
|
2022-09-19 07:38:12
| 6,288 | 555,508 |
['transformers', 'pytorch', 'opt', 'text-generation', 'en', 'autotrain_compatible', 'text-generation-inference']
|
text-generation
|
2022-09-19 06:41:21
|
unknown
|
other
|
OPTForCausalLM
| null |
unknown
|
bdotloh/just-another-emotion-classifier
|
bdotloh
|
2022-10-27 10:56:34
| 236 | 110,569 |
['transformers', 'pytorch', 'bert', 'text-classification', 'emotion-classification', 'en', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-09-19 09:01:48
|
go-emotions_bdotloh/empathetic-dialogues-contexts
|
unknown
|
BertForSequenceClassification
| null |
unknown
|
PaDaS-Lab/gbert-legal-ner
|
PaDaS-Lab
|
2024-02-26 11:22:59
| 281 | 213,339 |
['transformers', 'pytorch', 'tf', 'safetensors', 'bert', 'token-classification', 'de', 'autotrain_compatible', 'endpoints_compatible']
|
token-classification
|
2022-09-19 17:00:33
|
Legal-Entity-Recognition
|
unknown
|
BertForTokenClassification
| null |
unknown
|
firqaaa/indo-sentence-bert-base
|
firqaaa
|
2024-03-03 00:02:00
| 21,626 | 291,891 |
['sentence-transformers', 'pytorch', 'bert', 'feature-extraction', 'sentence-similarity', 'transformers', 'id', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']
|
sentence-similarity
|
2022-09-19 18:01:57
|
unknown
|
apache-2.0
|
BertModel
| null |
unknown
|
speechbrain/asr-wav2vec2-ctc-aishell
|
speechbrain
|
2024-02-19 13:39:05
| 174 | 2,228 |
['speechbrain', 'CTC', 'wav2vec2', 'pytorch', 'zh']
|
unknown
|
2022-09-20 12:52:27
|
aishell
|
apache-2.0
|
unknown
| null |
unknown
|
ibm-research/knowgl-large
|
ibm-research
|
2023-12-28 12:44:36
| 874 | 22,755 |
['transformers', 'pytorch', 'safetensors', 'bart', 'text2text-generation', 'seq2seq', 'relation-extraction', 'triple-generation', 'entity-linking', 'entity-type-linking', 'relation-linking', 'en', 'model-index', 'autotrain_compatible', 'endpoints_compatible']
|
text2text-generation
|
2022-09-20 16:10:09
|
Babelscape/rebel-dataset
|
cc-by-nc-sa-4.0
|
BartForConditionalGeneration
| null |
unknown
|
lfoppiano/MatTPUSciBERT
|
lfoppiano
|
2023-04-23 08:29:58
| 2,538 | 3,548,956 |
['transformers', 'pytorch', 'safetensors', 'bert', 'fill-mask', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-09-21 00:21:49
|
unknown
|
unknown
|
BertForMaskedLM
| null |
unknown
|
rufimelo/Legal-BERTimbau-sts-large-ma-v3
|
rufimelo
|
2024-10-24 20:39:26
| 417 | 7,255 |
['sentence-transformers', 'pytorch', 'safetensors', 'bert', 'feature-extraction', 'sentence-similarity', 'transformers', 'pt', 'model-index', 'autotrain_compatible', 'text-embeddings-inference', 'endpoints_compatible']
|
sentence-similarity
|
2022-09-21 20:42:45
|
assin_assin2_stsb_multi_mt_rufimelo/PortugueseLegalSentences-v0
|
unknown
|
BertModel
| null |
unknown
|
omarques/autotrain-dogs-and-cats-1527055142
|
omarques
|
2022-09-21 21:38:24
| 67 | 10,462 |
['transformers', 'pytorch', 'autotrain', 'vision', 'image-classification', 'co2_eq_emissions', 'endpoints_compatible']
|
image-classification
|
2022-09-21 21:37:41
|
omarques/autotrain-data-dogs-and-cats
|
unknown
|
unknown
| null |
unknown
|
EleutherAI/polyglot-ko-5.8b
|
EleutherAI
|
2023-06-07 05:03:38
| 5,361 | 401,928 |
['transformers', 'pytorch', 'safetensors', 'gpt_neox', 'text-generation', 'causal-lm', 'ko', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text-generation
|
2022-09-22 06:57:04
|
unknown
|
apache-2.0
|
GPTNeoXForCausalLM
| null |
source
|
r-f/wav2vec-english-speech-emotion-recognition
|
r-f
|
2025-01-02 16:03:07
| 7,219 | 216,029 |
['transformers', 'pytorch', 'wav2vec2', 'automatic-speech-recognition', 'generated_from_trainer', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-09-22 13:42:26
|
unknown
|
apache-2.0
|
Wav2Vec2ForCTC
| null |
unknown
|
cjj8168/stress_dreaddit
|
cjj8168
|
2022-09-22 16:46:33
| 25 | 733 |
['transformers', 'pytorch', 'bert', 'text-classification', 'generated_from_trainer', 'autotrain_compatible', 'endpoints_compatible']
|
text-classification
|
2022-09-22 16:44:29
|
unknown
|
mit
|
BertForSequenceClassification
| null |
unknown
|
sahita/lang-VoxLingua107-ecapa
|
sahita
|
2022-09-26 08:13:03
| 45 | 279 |
['speechbrain', 'audio-classification', 'embeddings', 'Language', 'Identification', 'pytorch', 'ECAPA-TDNN', 'TDNN', 'VoxLingua107', 'multilingual', 'en', 'mr']
|
audio-classification
|
2022-09-23 08:53:34
|
VoxLingua107
|
apache-2.0
|
unknown
| null |
unknown
|
neulab/codebert-python
|
neulab
|
2023-02-27 20:56:57
| 765,475 | 6,230,989 |
['transformers', 'pytorch', 'roberta', 'fill-mask', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-09-23 15:01:36
|
unknown
|
unknown
|
RobertaForMaskedLM
|
['microsoft/codebert-base-mlm']
|
unknown_annotated
|
neulab/codebert-javascript
|
neulab
|
2023-02-27 20:56:02
| 361 | 551,397 |
['transformers', 'pytorch', 'roberta', 'fill-mask', 'autotrain_compatible', 'endpoints_compatible']
|
fill-mask
|
2022-09-23 15:19:35
|
unknown
|
unknown
|
RobertaForMaskedLM
| null |
unknown
|
lcw99/t5-base-korean-text-summary
|
lcw99
|
2023-04-13 02:30:33
| 545 | 95,131 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 't5', 'text2text-generation', 'generated_from_keras_callback', 'ko', 'autotrain_compatible', 'text-generation-inference', 'endpoints_compatible']
|
text2text-generation
|
2022-09-24 05:23:31
|
unknown
|
unknown
|
T5ForConditionalGeneration
| null |
unknown
|
BumblingOrange/Shalltear_Bloodfallen
|
BumblingOrange
|
2022-09-25 22:25:26
| 0 | 0 |
[]
|
unknown
|
2022-09-25 19:31:46
|
unknown
|
bigscience-bloom-rail-1.0
|
unknown
| null |
unknown
|
openai/whisper-medium
|
openai
|
2024-02-29 10:57:42
| 501,200 | 6,761,296 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'whisper', 'automatic-speech-recognition', 'audio', 'hf-asr-leaderboard', 'en', 'zh', 'de', 'es', 'ru', 'ko', 'fr', 'ja', 'pt', 'tr', 'pl', 'ca', 'nl', 'ar', 'sv', 'it', 'id', 'hi', 'fi', 'vi', 'he', 'uk', 'el', 'ms', 'cs', 'ro', 'da', 'hu', 'ta', 'no', 'th', 'ur', 'hr', 'bg', 'lt', 'la', 'mi', 'ml', 'cy', 'sk', 'te', 'fa', 'lv', 'bn', 'sr', 'az', 'sl', 'kn', 'et', 'mk', 'br', 'eu', 'is', 'hy', 'ne', 'mn', 'bs', 'kk', 'sq', 'sw', 'gl', 'mr', 'pa', 'si', 'km', 'sn', 'yo', 'so', 'af', 'oc', 'ka', 'be', 'tg', 'sd', 'gu', 'am', 'yi', 'lo', 'uz', 'fo', 'ht', 'ps', 'tk', 'nn', 'mt', 'sa', 'lb', 'my', 'bo', 'tl', 'mg', 'as', 'tt', 'haw', 'ln', 'ha', 'ba', 'jw', 'su', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-09-26 06:52:52
|
unknown
|
apache-2.0
|
WhisperForConditionalGeneration
| null |
source
|
openai/whisper-large
|
openai
|
2024-02-29 10:57:46
| 1,280,938 | 5,395,587 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'whisper', 'automatic-speech-recognition', 'audio', 'hf-asr-leaderboard', 'en', 'zh', 'de', 'es', 'ru', 'ko', 'fr', 'ja', 'pt', 'tr', 'pl', 'ca', 'nl', 'ar', 'sv', 'it', 'id', 'hi', 'fi', 'vi', 'he', 'uk', 'el', 'ms', 'cs', 'ro', 'da', 'hu', 'ta', 'no', 'th', 'ur', 'hr', 'bg', 'lt', 'la', 'mi', 'ml', 'cy', 'sk', 'te', 'fa', 'lv', 'bn', 'sr', 'az', 'sl', 'kn', 'et', 'mk', 'br', 'eu', 'is', 'hy', 'ne', 'mn', 'bs', 'kk', 'sq', 'sw', 'gl', 'mr', 'pa', 'si', 'km', 'sn', 'yo', 'so', 'af', 'oc', 'ka', 'be', 'tg', 'sd', 'gu', 'am', 'yi', 'lo', 'uz', 'fo', 'ht', 'ps', 'tk', 'nn', 'mt', 'sa', 'lb', 'my', 'bo', 'tl', 'mg', 'as', 'tt', 'haw', 'ln', 'ha', 'ba', 'jw', 'su', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-09-26 06:56:04
|
unknown
|
apache-2.0
|
WhisperForConditionalGeneration
| null |
source
|
openai/whisper-tiny.en
|
openai
|
2024-01-22 17:55:12
| 174,070 | 4,754,609 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'whisper', 'automatic-speech-recognition', 'audio', 'hf-asr-leaderboard', 'en', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-09-26 06:57:49
|
unknown
|
apache-2.0
|
WhisperForConditionalGeneration
| null |
unknown
|
openai/whisper-base.en
|
openai
|
2024-01-22 17:55:08
| 2,173,664 | 11,765,842 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'whisper', 'automatic-speech-recognition', 'audio', 'hf-asr-leaderboard', 'en', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-09-26 06:58:29
|
unknown
|
apache-2.0
|
WhisperForConditionalGeneration
| null |
source
|
openai/whisper-small.en
|
openai
|
2024-01-22 17:55:26
| 46,689 | 2,296,750 |
['transformers', 'pytorch', 'tf', 'jax', 'safetensors', 'whisper', 'automatic-speech-recognition', 'audio', 'hf-asr-leaderboard', 'en', 'model-index', 'endpoints_compatible']
|
automatic-speech-recognition
|
2022-09-26 06:59:49
|
unknown
|
apache-2.0
|
WhisperForConditionalGeneration
| 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.