modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
values | private bool 1
class | author stringlengths 2 38 โ | config null | id stringlengths 4 112 | downloads float64 0 36.8M โ | likes float64 0 712 โ | library_name stringclasses 17
values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
armgabrielyan/video-summarization | e487ff551cb932519b3608acbed9c9c1beb00b9e | 2022-05-22T07:18:33.000Z | [
"pytorch",
"vision-encoder-decoder",
"transformers"
] | null | false | armgabrielyan | null | armgabrielyan/video-summarization | 11 | 1 | transformers | 11,300 | Entry not found |
Nanatan/distilbert-base-uncased-finetuned-emotion | 5de7035e1f0a2013e92e91df1871e51c0d29d24e | 2022-05-22T21:34:43.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Nanatan | null | Nanatan/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,301 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
wonscha/my-awesome-model | 7ab8a634d6a41e49e00437f6cf4fcf789e2baa9c | 2022-05-23T04:44:48.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:yelp_review_full",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | wonscha | null | wonscha/my-awesome-model | 11 | null | transformers | 11,302 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- yelp_review_full
metrics:
- accuracy
model-index:
- name: my-awesome-model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: yelp_review_full
type: yelp_review_full
args: yelp_revie... |
jimypbr/t5-base-test | 5656783dfb89fcaf48162bb9158f0b5ad436fbb9 | 2022-05-25T12:02:55.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | jimypbr | null | jimypbr/t5-base-test | 11 | null | transformers | 11,303 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cnn_dailymail
model-index:
- name: t5-base-summarization
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this com... |
mrm8488/t5-small-finetuned-qgsquad-qgen | 756ac4db6a4cf80974046f6080c6e6f0ee47be5a | 2022-05-24T17:20:27.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:qg_squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/t5-small-finetuned-qgsquad-qgen | 11 | null | transformers | 11,304 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- qg_squad
model-index:
- name: t5-small-finetuned-qgsquad-qgen
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... |
Yah216/Arabic_poem_meter_classification | 01776dfc0299695a5041b480212b0ce2f388b9e2 | 2022-05-26T17:45:51.000Z | [
"pytorch",
"bert",
"text-classification",
"ar",
"transformers"
] | text-classification | false | Yah216 | null | Yah216/Arabic_poem_meter_classification | 11 | null | transformers | 11,305 | ---
language: ar
widget:
- text: "ููุง ูุจู ู
ู ุฐููุฑู ุญุจูุจ ูู
ูุฒูู ุจุณููุทู ุงูููููู ุจููู ุงูุฏููุฎูู ูุญูููู
ูู"
- text: "ุณููู ูููุจู ุบูุฏุงุฉู ุณููุง ููุซุงุจุง ููุนูููู ุนููู ุงูุฌูู
ุงูู ูููู ุนูุชุงุจุง"
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 913229914
- CO2 Emissions (in grams): 1.8892280... |
chrisvinsen/xlsr-wav2vec2-final-1-lm-2 | 66f307d2a59a857523d9db682a61e537346869a0 | 2022-06-01T22:29:23.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | chrisvinsen | null | chrisvinsen/xlsr-wav2vec2-final-1-lm-2 | 11 | null | transformers | 11,306 | Indonli dataset --> Train + Validation + Test
WER : 0.216
WER with LM: 0.151 |
Jrico1981/sentiment-classification | f2648625e3255ef2f972bd646cb889effe030396 | 2022-05-28T14:32:09.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jrico1981 | null | Jrico1981/sentiment-classification | 11 | null | transformers | 11,307 | welcome to my sentiment classification model
model trained with the bert-base-uncased base to classify the sentiment of customers who respond to the satisfaction survey. The sentiments that it classifies are positive (1) and negative (0). |
GioReg/bertMULTINEGsentiment | 2734d1d2d3da1af872cd858f788455da3cb01586 | 2022-05-29T13:05:08.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | GioReg | null | GioReg/bertMULTINEGsentiment | 11 | null | transformers | 11,308 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bertMULTINEGsentiment
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bertMULTINEGs... |
wanghao2023/uganda-labor-market-interview-text-classification | ccd60f95571696614d565998bab5a3be0f7e71b5 | 2022-05-29T23:26:31.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"transformers",
"license:mit"
] | text-classification | false | wanghao2023 | null | wanghao2023/uganda-labor-market-interview-text-classification | 11 | null | transformers | 11,309 | ---
language: en
license: mit
---
# Uganda Labor Market Interview Text Classification
This model is a fine-tuned [Roberta base model](https://huggingface.co/roberta-base) using text transcripts of interviews between Vocational Training Institutes (VTI) students and their successful alumni in Uganda on the subject of ... |
sahn/distilbert-base-uncased-finetuned-imdb | 5fcff2b437b90a0501b9adbddf451d0b26f03bf0 | 2022-05-30T04:41:23.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | sahn | null | sahn/distilbert-base-uncased-finetuned-imdb | 11 | null | transformers | 11,310 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metrics:
... |
apple/mobilevit-x-small | 1f463474d8900c5cddd0129044b8b31cc2a7e511 | 2022-06-02T10:55:15.000Z | [
"pytorch",
"coreml",
"mobilevit",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.02178",
"transformers",
"vision",
"license:other"
] | image-classification | false | apple | null | apple/mobilevit-x-small | 11 | null | transformers | 11,311 | ---
license: other
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https://hu... |
Yuliya-HV/distilbert-base-uncased-finetuned-emotion-tweets | ea5d8e84192fd6f99b9917bc9d0c56de71f6f77f | 2022-05-30T18:39:27.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Yuliya-HV | null | Yuliya-HV/distilbert-base-uncased-finetuned-emotion-tweets | 11 | null | transformers | 11,312 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion-tweets
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: ... |
RANG012/SENATOR-Scaled | e4fa97a447462dacff3f3a5ebc2a9d05d374bb2c | 2022-06-01T08:10:34.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | RANG012 | null | RANG012/SENATOR-Scaled | 11 | null | transformers | 11,313 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: SENATOR-Scaled
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metrics:
- name: Accurac... |
Abderrahim2/bert-finetuned-Age | 205ca2b61761091787d472a1021a385e45f43924 | 2022-06-02T16:37:58.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | Abderrahim2 | null | Abderrahim2/bert-finetuned-Age | 11 | 1 | transformers | 11,314 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-finetuned-Age
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... |
Jeevesh8/init_bert_ft_qqp-58 | adb129bcb03fe426a47c15db5171aac20fa634f8 | 2022-06-02T12:39:36.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/init_bert_ft_qqp-58 | 11 | null | transformers | 11,315 | Entry not found |
Jeevesh8/init_bert_ft_qqp-56 | 5d6a7eb9d10e20374bfc95d431e63ef6d99965c1 | 2022-06-02T12:39:34.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/init_bert_ft_qqp-56 | 11 | null | transformers | 11,316 | Entry not found |
Jeevesh8/init_bert_ft_qqp-51 | 5336d616552fb1360f6e1ef4421fad176c787a95 | 2022-06-02T12:39:27.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/init_bert_ft_qqp-51 | 11 | null | transformers | 11,317 | Entry not found |
yanekyuk/berturk-128k-keyword-discriminator | 37f253be49edbe087d827ffa0b58eced6fe8cf13 | 2022-06-05T12:54:08.000Z | [
"pytorch",
"bert",
"token-classification",
"tr",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | yanekyuk | null | yanekyuk/berturk-128k-keyword-discriminator | 11 | null | transformers | 11,318 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
- f1
language:
- tr
widget:
- text: "ฤฐngiltere'de dรผzenlenen Avrupa Tekvando ve Para Tekvando ลampiyonasฤฑโnda millรฎ tekvandocular 5 altฤฑn, 2 gรผmรผล ve 4 bronz olmak รผzere 11, millรฎ para tekvandocular ise 4 altฤฑn, 3 gรผmรผล ve 1 bronz ... |
murdockthedude/distilbert-base-uncased-finetuned-ner | 591a4f78d95c6529e74b37744fac7838b10817e3 | 2022-06-05T00:57:57.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | murdockthedude | null | murdockthedude/distilbert-base-uncased-finetuned-ner | 11 | null | transformers | 11,319 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conl... |
Erland/distilbert-base-uncased-finetuned-emotion | 969c9b7e367723d5ef31299e4f93277579273eca | 2022-06-06T02:45:50.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Erland | null | Erland/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,320 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
Jherb/finetuning-sentiment-model-3000-samples | 112a0307addd51f4aff137db503f5de958106243 | 2022-06-05T21:21:18.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Jherb | null | Jherb/finetuning-sentiment-model-3000-samples | 11 | null | transformers | 11,321 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
binaya-s/xls-r-300m-en | 84eaf67e5490f9e8bccd2687ce2d5680082119fa | 2022-06-07T07:58:50.000Z | [
"pytorch",
"tf",
"wav2vec2",
"automatic-speech-recognition",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"transformers",
"audio",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | binaya-s | null | binaya-s/xls-r-300m-en | 11 | null | transformers | 11,322 | ---
language: en
datasets:
- librispeech_asr
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
license: apache-2.0
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.huggingface.... |
QuentinKemperino/ECHR_test_2 | 2457ef10cc1511a76b0264bf9048bf27ad7971be | 2022-06-21T20:44:10.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:lex_glue",
"transformers",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"model-index"
] | text-classification | false | QuentinKemperino | null | QuentinKemperino/ECHR_test_2 | 11 | null | transformers | 11,323 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- lex_glue
model-index:
- name: ECHR_test_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... |
chanifrusydi/t5-dialogue-summarization | bb486e7e0c4adfbec13b4a109adb79258f09780c | 2022-06-09T13:43:18.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:samsum",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | chanifrusydi | null | chanifrusydi/t5-dialogue-summarization | 11 | null | transformers | 11,324 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
model-index:
- name: t5-dialogue-summarization
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... |
victorlee071200/bert-base-cased-finetuned-squad_v2 | fecd1da01c4ef50ed9d74d8781b0e8769833eb01 | 2022-06-09T13:16:06.000Z | [
"pytorch",
"bert",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | victorlee071200 | null | victorlee071200/bert-base-cased-finetuned-squad_v2 | 11 | null | transformers | 11,325 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bert-base-cased-finetuned-squad_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove ... |
russellc/bert-finetuned-ner | 45bcf27d2f103cfc770031f36fa7ac041feb6cdb | 2022-06-09T11:11:34.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | russellc | null | russellc/bert-finetuned-ner | 11 | 1 | transformers | 11,326 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
enoriega/rule_softmatching | edba9f8ba72d2bf6f823f0e8095f47e008641ca5 | 2022-06-10T03:59:51.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | enoriega | null | enoriega/rule_softmatching | 11 | null | transformers | 11,327 | Entry not found |
ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar | f50f753cde0a17cb315bc640691c141a692a846a | 2022-06-10T23:54:52.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:wiki_lingua",
"transformers",
"summarization",
"mt5",
"ar",
"abstractive summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | ahmeddbahaa | null | ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar | 11 | null | transformers | 11,328 | ---
license: apache-2.0
tags:
- summarization
- mt5
- ar
- abstractive summarization
- generated_from_trainer
datasets:
- wiki_lingua
model-index:
- name: t5-arabic-base-finetuned-wikilingua-ar
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access t... |
ghadeermobasher/BC5CDR-Chem-Modified-SciBERT-384 | 666a5ddc7599170530a1034abb8c6dc50d4d045a | 2022-06-14T00:24:57.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Modified-SciBERT-384 | 11 | null | transformers | 11,329 | Entry not found |
dexay/Ner2HgF | e00ed50f4d40beaad19f51f7358d03abe5de9f7e | 2022-06-14T12:12:33.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | dexay | null | dexay/Ner2HgF | 11 | null | transformers | 11,330 | Entry not found |
cindy203cc/finetuning-sentiment-model-3000-samples | 940c3b83c3457ac3b39f3c8da343b7901f991191 | 2022-06-14T19:16:33.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | cindy203cc | null | cindy203cc/finetuning-sentiment-model-3000-samples | 11 | null | transformers | 11,331 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
AnyaSchen/rugpt3_esenin | c9b714edb93aeb9b19407846176a8b7623b54cbc | 2022-06-15T11:26:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | AnyaSchen | null | AnyaSchen/rugpt3_esenin | 11 | null | transformers | 11,332 | This model was created as a fine-tuned GPT-3 medium model, which is tuned to the style of Yesenin's poetry in Russian. You can give her a word, a phrase, or just an empty line as an input, and she will give out a poem in Yesenin's style.
![alt text](https://lh3.googleusercontent.com/GFvLjpEgChuXAalHquE3zl22Cqx7ipO233p... |
AnyaSchen/rugpt3_blok | bbf7576baee480407c7a306076c478bf00b762ab | 2022-06-15T11:24:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | AnyaSchen | null | AnyaSchen/rugpt3_blok | 11 | null | transformers | 11,333 | This model was created as a fine-tuned GPT-3 medium model, which is tuned to the style of Blok's poetry in Russian. You can give her a word, a phrase, or just an empty line as an input, and she will give out a poem in Blok's style.
![alt text](https://lh4.googleusercontent.com/BxsTIgzhQesSrRY-7erc7S3fFOQxkj1sXEnnYN-6P... |
eunbeee/hyunwoongko-kobart-eb-finetuned-papers-meetings | 86a3974a03aba6372ca3aaa62d00f99901e25493 | 2022-06-16T17:43:44.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | eunbeee | null | eunbeee/hyunwoongko-kobart-eb-finetuned-papers-meetings | 11 | null | transformers | 11,334 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: hyunwoongko-kobart-eb-finetuned-papers-meetings
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... |
chlab/efficientnet_61_planet_detection | a29a99abd85bcc28a3d9525632648803b980c4e1 | 2022-06-17T17:12:07.000Z | [
"pytorch",
"efficientnet_61_planet_detection",
"Python 3.7+",
"dataset:imagenet",
"dataset:imagenet-21k",
"transformers",
"vision",
"image-classification",
"license:apache-2.0"
] | image-classification | false | chlab | null | chlab/efficientnet_61_planet_detection | 11 | null | transformers | 11,335 | ---
language:
- Python 3.7+
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet
- imagenet-21k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.j... |
dennis-fast/DialoGPT-ElonMusk | e7353c25d80f21c8e1d23ce281a7dfef306b7c55 | 2022-06-18T15:13:23.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"license:mit"
] | conversational | false | dennis-fast | null | dennis-fast/DialoGPT-ElonMusk | 11 | null | transformers | 11,336 | ---
tags:
- conversational
license: mit
---
# DialoGPT-ElonMusk: Chat with Elon Musk
This is a conversational language model of Elon Musk. The bot's conversation abilities come from Microsoft's [DialoGPT-small conversational model](https://huggingface.co/microsoft/DialoGPT-small) fine-tuned on conversation transcript... |
eslamxm/AraT5-base-title-generation-finetune-ar-xlsum | 949723db7b5c82d9ccb4825779b16b27628fe0e8 | 2022-06-19T05:23:32.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"Arat5-base",
"abstractive summarization",
"ar",
"xlsum",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | eslamxm | null | eslamxm/AraT5-base-title-generation-finetune-ar-xlsum | 11 | null | transformers | 11,337 | ---
tags:
- summarization
- Arat5-base
- abstractive summarization
- ar
- xlsum
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: AraT5-base-title-generation-finetune-ar-xlsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. Y... |
Danastos/dpr_query_el_1 | f11e6622a2b4f4e07b8b1b74f0964fab0c75f8ff | 2022-06-19T18:41:51.000Z | [
"pytorch",
"bert",
"pretraining",
"transformers"
] | null | false | Danastos | null | Danastos/dpr_query_el_1 | 11 | null | transformers | 11,338 | Entry not found |
chradden/generation_xyz | d4e8cc9fced8bb2f2c1d88ef0af3cb93c4e5b3a2 | 2022-06-19T21:33:52.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | chradden | null | chradden/generation_xyz | 11 | null | transformers | 11,339 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: generation_xyz
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.5504587292671204
---
# generation_xyz
Au... |
gauravnuti/agro-ner | e163978ab308e29e4be2a2a797b5dd08e17d048b | 2022-06-20T12:12:39.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | gauravnuti | null | gauravnuti/agro-ner | 11 | null | transformers | 11,340 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-17 | e8b4ca4de589a81a8eeb36127700749b92cadb0c | 2022-06-21T13:29:18.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-17 | 11 | null | transformers | 11,341 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-6 | 55b6d3ea7539213338b67d3e37ca1079ecfaa47b | 2022-06-21T13:28:04.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-6 | 11 | null | transformers | 11,342 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-70 | 78f2bd0bf0c25b8466a2d9c26f4c03a05501c3d7 | 2022-06-21T13:28:32.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-70 | 11 | null | transformers | 11,343 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-43 | c957272e710a3e00081ef0bf118aed80868c3420 | 2022-06-21T13:28:22.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-43 | 11 | null | transformers | 11,344 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-2 | 48153c5108fc78804f29cb410909d8454b24a152 | 2022-06-21T13:27:58.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-2 | 11 | null | transformers | 11,345 | Entry not found |
kktoto/tiny_no_focal_v2 | 105c02ab71aa56d268939033a8b566bb9c9cfd15 | 2022-06-22T08:50:37.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | kktoto | null | kktoto/tiny_no_focal_v2 | 11 | null | transformers | 11,346 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: tiny_no_focal_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.... |
kunalr63/simple_transformer | fa3f934a64c3034210bb88ceb67f42af60818c63 | 2022-06-22T10:01:23.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | kunalr63 | null | kunalr63/simple_transformer | 11 | null | transformers | 11,347 | Entry not found |
JamesStratford/Pidrow-bot-DialoGPT-Medium | 0458aca4e6cd429db57b7fd9ade39796fe952e4c | 2022-06-24T01:11:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | JamesStratford | null | JamesStratford/Pidrow-bot-DialoGPT-Medium | 11 | null | transformers | 11,348 | ---
tags:
- conversational
---
# Pidrow bot - medium
Pidrow is a person in a discord server that talks a lot and has a very unique personality. So I made this API for a discord bot to talk to in the server... It's like talking to Pidrow 24/7 |
Aktsvigun/bert-base-wikihow | 76ccf8b2a709dc8f1c365699ec2488f953c10e00 | 2022-07-05T17:22:48.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Aktsvigun | null | Aktsvigun/bert-base-wikihow | 11 | null | transformers | 11,349 | Entry not found |
BigSalmon/TextbookInformalFormalEnglish | 11d3b8af3fa1f4ae41ea79b1620cbce061d27925 | 2022-06-25T02:25:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/TextbookInformalFormalEnglish | 11 | null | transformers | 11,350 | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/TextbookInformalFormalEnglish")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/TextbookInformalFormalEnglish")
```
```
How To Make Prompt:
informal english: i am very ready to do that just t... |
danielmantisnlp/autotrain-oms-ner-bi-1044135953 | cb49c258f7b7e6f62764e55476c04395f0601af4 | 2022-06-27T09:39:42.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:danielmantisnlp/autotrain-data-oms-ner-bi",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | token-classification | false | danielmantisnlp | null | danielmantisnlp/autotrain-oms-ner-bi-1044135953 | 11 | null | transformers | 11,351 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain ๐ค"
datasets:
- danielmantisnlp/autotrain-data-oms-ner-bi
co2_eq_emissions: 1.425282392185522
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 1044135953
- CO2 Emissions (in grams): 1.425282392185522
## Validation Met... |
kktoto/tiny_focal_alpah75 | 3c4b6424f05c3a2acb9c38b40f76e303aef23c8a | 2022-06-28T05:34:25.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | kktoto | null | kktoto/tiny_focal_alpah75 | 11 | null | transformers | 11,352 | Entry not found |
Hartmann/DialoGPT-small-koishikomeiji | 794664e06deb5d68e2c0ba0685980a5448676548 | 2022-06-28T04:08:31.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Hartmann | null | Hartmann/DialoGPT-small-koishikomeiji | 11 | 1 | transformers | 11,353 | ---
tags:
- conversational
---
# Koishi Komeiji DialoGPT Model |
21iridescent/MRC-RE | 509f1250ab8c85f226cadbe8ab3456e74b223d1e | 2022-06-28T09:46:14.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | question-answering | false | 21iridescent | null | 21iridescent/MRC-RE | 11 | null | transformers | 11,354 | ---
license: afl-3.0
---
|
abhiBatu/MeetingSumm | 132e9286c90085450647333f983affd20d0f5e9e | 2022-06-28T14:27:35.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | abhiBatu | null | abhiBatu/MeetingSumm | 11 | null | transformers | 11,355 | Entry not found |
robingeibel/bigbird-large-finetuned-big_patent | dd09c8e04a6584689597ca8f71bb51507cb44f28 | 2022-06-29T22:17:27.000Z | [
"pytorch",
"tensorboard",
"big_bird",
"fill-mask",
"dataset:big_patent",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | robingeibel | null | robingeibel/bigbird-large-finetuned-big_patent | 11 | null | transformers | 11,356 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- big_patent
model-index:
- name: bigbird-large-finetuned-big_patent
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... |
Lamine/bert-finetuned-ner_SourceRecognition | 01ce3faaf64aeffbdb7845ab40d3a03f6485094d | 2022-06-28T14:08:26.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Lamine | null | Lamine/bert-finetuned-ner_SourceRecognition | 11 | null | transformers | 11,357 | Entry not found |
AlekseyKorshuk/books-v2-3500 | 5a16ba78c992f4c31f0204794afb583e4d53e93e | 2022-06-28T15:11:32.000Z | [
"pytorch",
"gptj",
"text-generation",
"transformers"
] | text-generation | false | AlekseyKorshuk | null | AlekseyKorshuk/books-v2-3500 | 11 | 1 | transformers | 11,358 | Entry not found |
ubikpt/t5-small-finetuned-cnn | 7fe47a7eec5dc33b39bee16aebec3beabf4be20d | 2022-06-30T10:07:16.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | ubikpt | null | ubikpt/t5-small-finetuned-cnn | 11 | null | transformers | 11,359 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: t5-small-finetuned-cnn
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: cnn_dailymail
type: cnn_da... |
Jeevesh8/goog_bert_ft_cola-22 | 3ca27d096e98dc874284f27b1776315f4bbbe91b | 2022-06-29T17:33:13.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-22 | 11 | null | transformers | 11,360 | Entry not found |
Jeevesh8/goog_bert_ft_cola-20 | 1b16f5378cda9f16efaa33f25d601c1e9fea564d | 2022-06-29T17:33:32.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-20 | 11 | null | transformers | 11,361 | Entry not found |
Jeevesh8/goog_bert_ft_cola-21 | fb2602ae6e19e5b9459313d21f6975df3edd0eda | 2022-06-29T17:33:01.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-21 | 11 | null | transformers | 11,362 | Entry not found |
Jeevesh8/goog_bert_ft_cola-92 | c8f71ca9413a89c706de55ae5b3b8331dec0cc61 | 2022-06-29T17:35:50.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-92 | 11 | null | transformers | 11,363 | Entry not found |
Jeevesh8/goog_bert_ft_cola-96 | d480b3c57502cc627b98b93ef47f36797e53d7d5 | 2022-06-29T17:36:06.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-96 | 11 | null | transformers | 11,364 | Entry not found |
Jeevesh8/goog_bert_ft_cola-97 | b01f2a49db5b4da1ca37cda69cabe9e1ea9d058b | 2022-06-29T17:38:49.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-97 | 11 | null | transformers | 11,365 | Entry not found |
nvidia/stt_zh_conformer_transducer_large | 232d284afc458714611424210124d1f3b714c284 | 2022-07-12T16:23:40.000Z | [
"nemo",
"zh",
"dataset:AISHELL-2",
"arxiv:2005.08100",
"arxiv:1808.10583",
"automatic-speech-recognition",
"speech",
"audio",
"Transducer",
"Conformer",
"Transformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"license:cc-by-4.0",
"model-index"
] | automatic-speech-recognition | false | nvidia | null | nvidia/stt_zh_conformer_transducer_large | 11 | 2 | nemo | 11,366 | ---
language:
- zh
library_name: nemo
datasets:
- AISHELL-2
thumbnail: null
tags:
- automatic-speech-recognition
- speech
- audio
- Transducer
- Conformer
- Transformer
- pytorch
- NeMo
- hf-asr-leaderboard
license: cc-by-4.0
model-index:
- name: stt_zh_conformer_transducer_large
results:
- task:
name: Automa... |
austinmw/distilbert-base-uncased-finetuned-tweets-sentiment | bfc594502f76647e9eea90a38b796915960235f3 | 2022-06-29T22:18:47.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | austinmw | null | austinmw/distilbert-base-uncased-finetuned-tweets-sentiment | 11 | null | transformers | 11,367 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-tweets-sentiment
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
... |
RuiqianLi/Malaya-speech_fine-tune_realcase_30_Jun_lm | 04d74bada071eda783f65224cd999f231e977437 | 2022-06-30T05:43:57.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:uob_singlish",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | RuiqianLi | null | RuiqianLi/Malaya-speech_fine-tune_realcase_30_Jun_lm | 11 | null | transformers | 11,368 | ---
tags:
- generated_from_trainer
datasets:
- uob_singlish
model-index:
- name: Malaya-speech_fine-tune_realcase_30_Jun_lm
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this com... |
mesolitica/finetuned-bert-base-multilingual-cased-noisy-en-ms | 43eac456719ff48b47db05bb70443e64404d8d4c | 2022-06-30T12:32:59.000Z | [
"pytorch",
"tf",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_keras_callback",
"model-index",
"autotrain_compatible"
] | fill-mask | false | mesolitica | null | mesolitica/finetuned-bert-base-multilingual-cased-noisy-en-ms | 11 | null | transformers | 11,369 | ---
tags:
- generated_from_keras_callback
model-index:
- name: finetuned-bert-base-multilingual-cased-noisy-en-ms
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# fin... |
qfrodicio/bert-base-cased-finetuned-gesture_prediction | 3baca517608dca6e5b600edb1a1a0cc7e207d901 | 2022-06-30T20:21:09.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | qfrodicio | null | qfrodicio/bert-base-cased-finetuned-gesture_prediction | 11 | null | transformers | 11,370 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-cased-finetuned-gesture_prediction
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proo... |
zluvolyote/s288cExpressionPrediction_k4 | 25aa83bfd2a8a8f2065dedcf2e50f29f10cd8705 | 2022-06-30T16:48:34.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | zluvolyote | null | zluvolyote/s288cExpressionPrediction_k4 | 11 | null | transformers | 11,371 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: s288cExpressionPrediction_k4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# s288cE... |
domenicrosati/deberta-v3-large-dapt-tapt-scientific-papers-pubmed-finetuned-DAGPap22 | 856d6739857cdc234a1fbd7ad5b0a125804cd1dc | 2022-06-30T23:08:57.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | domenicrosati | null | domenicrosati/deberta-v3-large-dapt-tapt-scientific-papers-pubmed-finetuned-DAGPap22 | 11 | null | transformers | 11,372 | ---
license: mit
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: deberta-v3-large-dapt-tapt-scientific-papers-pubmed-finetuned-DAGPap22
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
... |
ardauzunoglu/mT5-en-to-tr | 1bc2b13f35489e25dc17b2d0fc97341d9fdfaa74 | 2022-06-30T20:32:33.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | ardauzunoglu | null | ardauzunoglu/mT5-en-to-tr | 11 | null | transformers | 11,373 | Entry not found |
FabianWillner/bert-base-uncased-finetuned-triviaqa-finetuned-squad | 09a3a079e92631cb9742bae0318d4a74f967a169 | 2022-07-01T10:42:12.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | FabianWillner | null | FabianWillner/bert-base-uncased-finetuned-triviaqa-finetuned-squad | 11 | null | transformers | 11,374 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-base-uncased-finetuned-triviaqa-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... |
Vlasta/L3UOT_best_K6Stride1Wide1epoch10percent_size | d9ac106e1484309806b476474dcf962a3d87af44 | 2022-07-01T17:02:37.000Z | [
"pytorch",
"deberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Vlasta | null | Vlasta/L3UOT_best_K6Stride1Wide1epoch10percent_size | 11 | null | transformers | 11,375 | Entry not found |
tner/bertweet-base-tweetner-2020 | 07c93da9edf45a9b09946d611e32fc086354c382 | 2022-07-07T23:35:25.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/bertweet-base-tweetner-2020 | 11 | null | transformers | 11,376 | Entry not found |
Gorilla115/t5-austen | 47afcc5d5adc78e0aada2a942560e9f8ac260eab | 2022-07-03T07:59:25.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Gorilla115 | null | Gorilla115/t5-austen | 11 | null | transformers | 11,377 | ---
tags:
- generated_from_trainer
model-index:
- name: t5-austen
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-austen
This model was trained from scratc... |
Hyeongdon/t5-large-dgen-SciQ | 79fa6bddaf18f2b3d2926ee3b06bc6635a7193d6 | 2022-07-03T10:26:16.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | Hyeongdon | null | Hyeongdon/t5-large-dgen-SciQ | 11 | null | transformers | 11,378 | ---
license: apache-2.0
---
T5-large Distractor generation model fine-tuned on SciQ dataset.
Input Format
```
{correct_answer} <sep> {question} <sep> {context}
```
Output Format
```
{Option1}</s>{Option2}</s>{Option3}
```
The paper is not published yet. |
datien228/distilbart-wikilingua-autotrain | 0275c4a0d86e0307775c0fcbf98144f1c70eaef9 | 2022-07-05T00:53:41.000Z | [
"pytorch",
"bart",
"text2text-generation",
"unk",
"dataset:datien228/autotrain-data-summary-text",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | datien228 | null | datien228/distilbart-wikilingua-autotrain | 11 | null | transformers | 11,379 | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain ๐ค"
datasets:
- datien228/autotrain-data-summary-text
co2_eq_emissions: 1850.790132860878
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1079039131
- CO2 Emissions (in grams): 1850.790132860878
## Validation Metrics
-... |
sanchit-gandhi/wav2vec2-large-tedlium | b77192000300e9cbb5e22864d80d9c4a69f3a047 | 2022-07-04T11:10:28.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"en",
"dataset:LIUM/tedlium",
"transformers",
"speech",
"license:apache-2.0"
] | automatic-speech-recognition | false | sanchit-gandhi | null | sanchit-gandhi/wav2vec2-large-tedlium | 11 | 1 | transformers | 11,380 | ---
language: en
datasets:
- LIUM/tedlium
tags:
- speech
license: apache-2.0
---
# Wav2Vec2-Large-Tedlium
The Wav2Vec2 large model fine-tuned on the TEDLIUM corpus.
The model is initialised with Facebook's [Wav2Vec2 large LV-60k](https://huggingface.co/facebook/wav2vec2-large-lv60) checkpoint pre-trained on 60,000h of... |
ricardo-filho/bert_base_tcm_no_objeto_0.8 | 9dc724ed47ea520e05974001c6eedda2ce2246c1 | 2022-07-04T13:21:15.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | ricardo-filho | null | ricardo-filho/bert_base_tcm_no_objeto_0.8 | 11 | null | transformers | 11,381 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bert_base_tcm_no_objeto_0.8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_base_tcm_... |
jakka/t5_small_NCC-finetuned-sv-frp-classifier | b221f9052655bdf174e526b6600f6b28c6f6fc7c | 2022-07-04T16:03:42.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:norwegian_parliament",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | jakka | null | jakka/t5_small_NCC-finetuned-sv-frp-classifier | 11 | null | transformers | 11,382 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- norwegian_parliament
model-index:
- name: t5_small_NCC-finetuned-sv-frp-classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... |
juridics/bertimbaulaw-base-portuguese-sts | 03a50eea489a9f7c8a18f8ed617815d7437937d9 | 2022-07-04T22:35:51.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | juridics | null | juridics/bertimbaulaw-base-portuguese-sts | 11 | null | sentence-transformers | 11,383 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# juridics/bertimbaulaw-base-portuguese-sts-scale
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space an... |
enoriega/rule_learning_margin_1mm_spanpred_nospec | 5657f714254d1cdcbaf0cf825b5e6a0881a5660d | 2022-07-05T13:56:15.000Z | [
"pytorch",
"tensorboard",
"bert",
"dataset:enoriega/odinsynth_dataset",
"transformers",
"generated_from_trainer",
"model-index"
] | null | false | enoriega | null | enoriega/rule_learning_margin_1mm_spanpred_nospec | 11 | null | transformers | 11,384 | ---
tags:
- generated_from_trainer
datasets:
- enoriega/odinsynth_dataset
model-index:
- name: rule_learning_margin_1mm_spanpred_nospec
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then rem... |
domenicrosati/deberta-v3-xsmall-finetuned-review_classifier | c2eac86ff4103773240ef2d48b64dddbcb24c30b | 2022-07-06T01:09:25.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | domenicrosati | null | domenicrosati/deberta-v3-xsmall-finetuned-review_classifier | 11 | null | transformers | 11,385 | ---
license: mit
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: deberta-v3-xsmall-finetuned-review_classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread... |
ghadeermobasher/Modified-BlueBERT-BioRED-Chem | a07392c011f9771022acdc38bec2e900ea3ce936 | 2022-07-06T14:52:30.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Modified-BlueBERT-BioRED-Chem | 11 | null | transformers | 11,386 | Entry not found |
saekomdalkom/long-t5-local-base-finetuned-xsum | 935edc43ccd1d551d7884e5403869e8d49c6fbd9 | 2022-07-06T15:59:44.000Z | [
"pytorch",
"longt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | saekomdalkom | null | saekomdalkom/long-t5-local-base-finetuned-xsum | 11 | null | transformers | 11,387 | Entry not found |
Aktsvigun/bart-base_aeslc_12345 | cd288721c3ed7edc23f16180d65c1feb6a24e01f | 2022-07-07T15:42:28.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Aktsvigun | null | Aktsvigun/bart-base_aeslc_12345 | 11 | null | transformers | 11,388 | Entry not found |
tner/twitter-roberta-base-2019-90m-tweetner-2020 | a1c1fb1ac5c3cdfdf48f12f72127f1eb1a184db1 | 2022-07-07T10:09:38.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/twitter-roberta-base-2019-90m-tweetner-2020 | 11 | null | transformers | 11,389 | Entry not found |
mbyanfei/autotrain-amazon-shoe-reviews-classification-1104340243 | 12d61c59030a9dd9cfb6b6efd0c7176899203b5b | 2022-07-07T20:02:39.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:mbyanfei/autotrain-data-amazon-shoe-reviews-classification",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | mbyanfei | null | mbyanfei/autotrain-amazon-shoe-reviews-classification-1104340243 | 11 | null | transformers | 11,390 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain ๐ค"
datasets:
- mbyanfei/autotrain-data-amazon-shoe-reviews-classification
co2_eq_emissions: 27.982443349742287
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1104340243
- CO2 Emissions (in grams): 27.982443... |
huggingtweets/gassy_dragon | 191a24ba02a728a701edc88742766140c7ddb930 | 2022-07-07T21:05:38.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/gassy_dragon | 11 | null | transformers | 11,391 | ---
language: en
thumbnail: http://www.huggingtweets.com/gassy_dragon/1657227895422/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; wi... |
nateraw/resnet50d | 662b2093d2a0d37f9e4ac6f1326d8aff30c01604 | 2022-07-08T05:34:39.000Z | [
"pytorch",
"timm",
"image-classification"
] | image-classification | false | nateraw | null | nateraw/resnet50d | 11 | null | timm | 11,392 | ---
tags:
- image-classification
- timm
library_tag: timm
---
# Model card for resnet50d |
domenicrosati/SPECTER-with-biblio-context-finetuned-review_classifier | be1b9f63adf023ca28788034503b4939fd8958a4 | 2022-07-08T18:53:09.000Z | [
"pytorch",
"bert",
"transformers",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | domenicrosati | null | domenicrosati/SPECTER-with-biblio-context-finetuned-review_classifier | 11 | null | transformers | 11,393 | ---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: SPECTER-with-biblio-context-finetuned-review_classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had ac... |
robb17/XLNet-finetuned-sentiment-analysis | af80e39e4a66f7dd16220574fbf54ded780486b4 | 2022-07-10T11:53:27.000Z | [
"pytorch",
"xlnet",
"text-classification",
"transformers"
] | text-classification | false | robb17 | null | robb17/XLNet-finetuned-sentiment-analysis | 11 | null | transformers | 11,394 | Entry not found |
Zamachi/RoBERTa-for-multilabel-sentence-classification | f8d542318fae3affd54b48577eab964e700d3f72 | 2022-07-14T13:19:22.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Zamachi | null | Zamachi/RoBERTa-for-multilabel-sentence-classification | 11 | null | transformers | 11,395 | Entry not found |
camilag/t5-end2end-questions-generation | a331016f052175e3b388f0b5c1dc778566dd65d8 | 2022-07-11T20:52:28.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:squad_modified_for_t5_qg",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | camilag | null | camilag/t5-end2end-questions-generation | 11 | null | transformers | 11,396 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_modified_for_t5_qg
model-index:
- name: t5-end2end-questions-generation
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... |
omarxadel/hubert-large-arabic-egyptian | a3dbba3a3b6f0ee6c80a3dbd18fc557b8f31dcd7 | 2022-07-12T14:10:51.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"ar",
"dataset:MGB-3",
"dataset:egyptian-arabic-conversational-speech-corpus",
"arxiv:2106.07447",
"transformers",
"CTC",
"Attention",
"Transformer",
"license:cc-by-nc-4.0",
"model-index"
] | automatic-speech-recognition | false | omarxadel | null | omarxadel/hubert-large-arabic-egyptian | 11 | 1 | transformers | 11,397 | ---
language: "ar"
pipeline_tag: automatic-speech-recognition
tags:
- CTC
- Attention
- pytorch
- Transformer
license: "cc-by-nc-4.0"
datasets:
- MGB-3
- egyptian-arabic-conversational-speech-corpus
metrics:
- wer
model-index:
- name: omarxadel/hubert-large-arabic-egyptian
results:
- task:
name: Automatic Sp... |
Doohae/lassl-kobart | 303823d25fc627dd513d442bb422aedbb4247b65 | 2022-07-12T18:28:33.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Doohae | null | Doohae/lassl-kobart | 11 | null | transformers | 11,398 | Entry not found |
jimacasaet/SalamaThanksEN2FILv3 | 30983a9aae35be45f612f0199d486e97ded3bdff | 2022-07-13T09:09:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | jimacasaet | null | jimacasaet/SalamaThanksEN2FILv3 | 11 | null | transformers | 11,399 | ---
license: apache-2.0
---
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.