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 ⌀ | config null | id stringlengths 4 112 | downloads float64 0 36.8M ⌀ | likes float64 0 712 ⌀ | library_name stringclasses 17
values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
sgugger/bert-sharded | e44c936c3858495e1fe46ab1aed01d8a4a15114c | 2022-03-22T17:42:29.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | sgugger | null | sgugger/bert-sharded | 11 | null | transformers | 11,200 | Entry not found |
Yaxin/xlm-roberta-base-yelp-mlm | f44a8c6c6edf028c2a603bf0f7bbb7653f3ac09d | 2022-03-24T04:44:37.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"dataset:yelp_review_full",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Yaxin | null | Yaxin/xlm-roberta-base-yelp-mlm | 11 | null | transformers | 11,201 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- yelp_review_full
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-yelp-mlm
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: yelp_review_full yelp_review_full
type: yelp_review_full
ar... |
Thant123/distilbert-base-uncased-finetuned-emotion | 9c469ce5d1a3b99cdc73e52702b52af2d2cb9ee1 | 2022-03-24T12:17:39.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Thant123 | null | Thant123/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,202 | ---
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... |
celine98/canine-c-finetuned-sst2 | e2ed997246d3612291f2ed1e6de408829cfe9284 | 2022-04-02T19:11:13.000Z | [
"pytorch",
"tensorboard",
"canine",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | celine98 | null | celine98/canine-c-finetuned-sst2 | 11 | null | transformers | 11,203 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: canine-c-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accuracy
... |
cdinh2022/distilbert-base-uncased-finetuned-emotion | 961aae04da6d585b842ddf49e1cba25faab11baa | 2022-03-24T21:44:36.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | cdinh2022 | null | cdinh2022/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,204 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: distilbert-base-uncased-finetuned-emotion
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 r... |
patrickvonplaten/deberta_amazon_reviews_v1 | 06f020e0dbf909570eb886423bd3af256b855546 | 2022-03-25T17:57:32.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | patrickvonplaten | null | patrickvonplaten/deberta_amazon_reviews_v1 | 11 | null | transformers | 11,205 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta_amazon_reviews_v1
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. -->
# deberta_amazon_r... |
hackathon-pln-es/electricidad-small-discriminator-finetuned-clasificacion-comentarios-suicidas | dadb12960f1cc549fe296e86c8362abd3b424451 | 2022-04-01T01:49:15.000Z | [
"pytorch",
"electra",
"text-classification",
"es",
"transformers",
"generated_from_trainer",
"sentiment",
"emotion",
"suicide",
"depresión",
"suicidio",
"español",
"spanish",
"depression",
"license:apache-2.0",
"model-index"
] | text-classification | false | hackathon-pln-es | null | hackathon-pln-es/electricidad-small-discriminator-finetuned-clasificacion-comentarios-suicidas | 11 | 9 | transformers | 11,206 | ---
license: apache-2.0
language: "es"
tags:
- generated_from_trainer
- sentiment
- emotion
- suicide
- depresión
- suicidio
- español
- es
- spanish
- depression
widget:
- text: "La vida no merece la pena"
example_title: "Ejemplo 1"
- text: "Para vivir así lo mejor es estar muerto"
example_titl... |
imyday/distilbert-base-uncased-finetuned-emotion | c43f9643670600cb4578e3f1f440895cc69a4f39 | 2022-03-27T06:59:25.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | imyday | null | imyday/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,207 | ---
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... |
alefiury/wav2vec2-large-xlsr-53-coraa-brazilian-portuguese-gain-normalization | 0d215267ace7b5d297b512e59918cae803780f3e | 2022-04-05T16:58:36.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:CORAA",
"dataset:common_voice",
"dataset:mls",
"dataset:cetuc",
"dataset:voxforge",
"transformers",
"audio",
"speech",
"portuguese-speech-corpus",
"PyTorch",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | alefiury | null | alefiury/wav2vec2-large-xlsr-53-coraa-brazilian-portuguese-gain-normalization | 11 | null | transformers | 11,208 | ---
language: pt
datasets:
- CORAA
- common_voice
- mls
- cetuc
- voxforge
metrics:
- wer
tags:
- audio
- speech
- wav2vec2
- pt
- portuguese-speech-corpus
- automatic-speech-recognition
- speech
- PyTorch
license: apache-2.0
model-index:
- name: Alef Iury XLSR Wav2Vec2 Large 53 Portuguese
resu... |
shrishail/t5_paraphrase_msrp_paws | 7b81cedc3e75d51475603b2bf35c3511ccb97513 | 2022-03-30T05:47:27.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"transformers",
"paraphrase-generation",
"text-generation",
"Conditional Generation",
"autotrain_compatible"
] | text-generation | false | shrishail | null | shrishail/t5_paraphrase_msrp_paws | 11 | null | transformers | 11,209 | ---
language: "en"
tags:
- paraphrase-generation
- text-generation
- Conditional Generation
inference: false
---
# Simple model for Paraphrase Generation
## Model description
T5-based model for generating paraphrased sentences. It is trained on the labeled [MSRP](https://www.microsoft.com/en-us/downlo... |
hackathon-pln-es/electricidad-base-generator-fake-news | b4738d0660cd0e74e9e8a151ef236d9be6c16fc6 | 2022-04-04T04:04:01.000Z | [
"pytorch",
"tensorboard",
"electra",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | hackathon-pln-es | null | hackathon-pln-es/electricidad-base-generator-fake-news | 11 | null | transformers | 11,210 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electricidad-base-generator-fake-news
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. -->
... |
binay1999/bert-finetuned-ner | 6f270a7bcbeb21c78eedabb5083f134c9b37d3fc | 2022-03-31T05:10:40.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | binay1999 | null | binay1999/bert-finetuned-ner | 11 | null | transformers | 11,211 | Entry not found |
thaind/layoutlmv2-jaen-gemai | d3cd287c939bd67be0216d13ca10a4e074f85ca9 | 2022-03-31T08:13:42.000Z | [
"pytorch",
"layoutlmv2",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | thaind | null | thaind/layoutlmv2-jaen-gemai | 11 | null | transformers | 11,212 | This is model fine tune from layoutlmv2 model for japanese and english language
|
abdusahmbzuai/aradia-ctc-data2vec-ft | c26cc0ccb23b0cd313550f64d1072703af0e75ed | 2022-04-01T08:19:29.000Z | [
"pytorch",
"data2vec-audio",
"automatic-speech-recognition",
"transformers",
"abdusahmbzuai/arabic_speech_massive_300hrs",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | abdusahmbzuai | null | abdusahmbzuai/aradia-ctc-data2vec-ft | 11 | null | transformers | 11,213 | ---
tags:
- automatic-speech-recognition
- abdusahmbzuai/arabic_speech_massive_300hrs
- generated_from_trainer
model-index:
- name: aradia-ctc-data2vec-ft
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... |
blckwdw61/sysformbatches2acs | 3f0dffcc1bc157fd7e5b02c51f34cdb023ddcead | 2022-04-01T02:17:19.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | blckwdw61 | null | blckwdw61/sysformbatches2acs | 11 | null | transformers | 11,214 | # Figured out labels |
antonio-artur/distilbert-base-uncased-finetuned-emotion | f7a336b540cc2b7d182c2c1cbb851716e5507de8 | 2022-04-02T14:26:59.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | antonio-artur | null | antonio-artur/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,215 | ---
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... |
lgris/bp_400_xlsr2_1B | db451d136eb3387f2b69d2afb61db73371e8a955 | 2022-04-01T23:52:55.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | lgris | null | lgris/bp_400_xlsr2_1B | 11 | null | transformers | 11,216 | Entry not found |
Sam4669/distilbert-base-uncased-finetuned-emotion | f9d23f924d402bc92f1082bc8cd93953870b628b | 2022-04-02T13:16:26.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Sam4669 | null | Sam4669/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,217 | ---
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... |
Giyaseddin/distilbert-base-cased-finetuned-fake-and-real-news-dataset | bfef5f3b5eff38f01e4bdd3b1b1427401dae190b | 2022-04-03T16:39:39.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:Fake and real news dataset",
"transformers",
"license:gpl-3.0"
] | text-classification | false | Giyaseddin | null | Giyaseddin/distilbert-base-cased-finetuned-fake-and-real-news-dataset | 11 | null | transformers | 11,218 | ---
license: gpl-3.0
language: en
library: transformers
other: distilbert
datasets:
- Fake and real news dataset
---
# DistilBERT base cased model for Fake News Classification
## Model description
DistilBERT is a transformers model, smaller and faster than BERT, which was pretrained on the same corpus i... |
hackathon-pln-es/readability-es-3class-paragraphs | f6220c636bf2088177773e3a484f5ade1353ccb0 | 2022-04-04T10:42:19.000Z | [
"pytorch",
"roberta",
"text-classification",
"es",
"transformers",
"spanish",
"bertin",
"license:cc-by-4.0"
] | text-classification | false | hackathon-pln-es | null | hackathon-pln-es/readability-es-3class-paragraphs | 11 | null | transformers | 11,219 | ---
language: es
license: cc-by-4.0
tags:
- spanish
- roberta
- bertin
pipeline_tag: text-classification
widget:
- text: Las Líneas de Nazca son una serie de marcas trazadas en el suelo, cuya anchura oscila entre los 40 y los 110 centímetros.
- text: Hace mucho tiempo, en el gran océano que baña las costas del Perú no ... |
aprilzoo/distilbert-base-uncased-finetuned-emotion | f4db81f22d9428276eee34de57ceace08c85690a | 2022-04-04T05:50:42.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aprilzoo | null | aprilzoo/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,220 | ---
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... |
Kalaoke/bert-finetuned-sentiment | 7bb3107c7588fa8d016091b289330fa5779d4094 | 2022-04-16T09:54:26.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | Kalaoke | null | Kalaoke/bert-finetuned-sentiment | 11 | null | transformers | 11,221 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-finetuned-sentiment
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. -->
... |
HenryHXR/scibert_scivocab_uncased-finetuned-ner | e7868331f4685b15ad8da241a830bbf820fbbd28 | 2022-04-05T15:24:38.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | HenryHXR | null | HenryHXR/scibert_scivocab_uncased-finetuned-ner | 11 | null | transformers | 11,222 | ---
tags:
- generated_from_trainer
model-index:
- name: scibert_scivocab_uncased-finetuned-ner
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. -->
# scibert_scivocab... |
Shadman-Rohan/distilbert-base-uncased-finetuned-emotion | 5b5678fa6c52b52d3ec164acba12b22d70e9a0cf | 2022-04-05T20:40:41.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Shadman-Rohan | null | Shadman-Rohan/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,223 | ---
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... |
Stremie/roberta-base-clickbait-keywords | 5f5b8247ff6e1e3a973b27a059cbf1413b5a6e25 | 2022-04-18T12:52:44.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Stremie | null | Stremie/roberta-base-clickbait-keywords | 11 | null | transformers | 11,224 | This model classifies whether a tweet is clickbait or not. It has been trained using [Webis-Clickbait-17](https://webis.de/data/webis-clickbait-17.html) dataset. Input is composed of 'postText' + '[SEP]' + 'targetKeywords'. Achieved ~0.7 F1-score on test data. |
Sleoruiz/distilbert-base-uncased-finetuned-emotion | 7cba274bbba91b6dc3c4c5b78cd216fda02e3db7 | 2022-04-07T06:34:58.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Sleoruiz | null | Sleoruiz/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,225 | ---
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... |
palakagl/Roberta_Multiclass_TextClassification | 2740496d084e8649d34d097bf70cfb6b1f15541b | 2022-04-07T17:15:10.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:palakagl/autotrain-data-PersonalAssitant",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | palakagl | null | palakagl/Roberta_Multiclass_TextClassification | 11 | null | transformers | 11,226 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- palakagl/autotrain-data-PersonalAssitant
co2_eq_emissions: 0.014567637985425905
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 717221783
- CO2 Emissions (in grams): 0.014567637985425905
## V... |
nielsr/segformer-test-v5 | 4e96814ca2cdaed1d3154badd6fcd38f53b0a9f9 | 2022-04-08T15:05:50.000Z | [
"pytorch",
"segformer",
"dataset:segments/sidewalk-semantic",
"transformers",
"vision",
"image-segmentation",
"license:apache-2.0"
] | image-segmentation | false | nielsr | null | nielsr/segformer-test-v5 | 11 | null | transformers | 11,227 | ---
license: apache-2.0
tags:
- vision
- image-segmentation
datasets:
- segments/sidewalk-semantic
widget:
- src: https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/admin-tobias/439f6843-80c5-47ce-9b17-0b2a1d54dbeb.jpg
example_title: Brugge
--- |
amrita03/wikineural-multilingual-ner | 3d5e0c242bbfed1b5dd21f2a381af3216fde6d8c | 2022-04-11T15:34:34.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | amrita03 | null | amrita03/wikineural-multilingual-ner | 11 | null | transformers | 11,228 | Entry not found |
brad1141/baseline_bertv3 | 547ef8fb339abb40e991cd7277df04d93963e863 | 2022-04-10T13:16:14.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | brad1141 | null | brad1141/baseline_bertv3 | 11 | null | transformers | 11,229 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: baseline_bertv3
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. -->
# baseline_bertv3
Th... |
Shivanand/wikineural-multilingual-ner | 8eacdca39e7aef59bb3c9fb271e3cec87b8a23b8 | 2022-04-11T21:15:12.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Shivanand | null | Shivanand/wikineural-multilingual-ner | 11 | null | transformers | 11,230 | Entry not found |
Toshifumi/distilbert-base-uncased-finetuned-emotion | ecb89630a03c0751bb359245c1f904d56a1feb71 | 2022-04-13T09:56:27.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Toshifumi | null | Toshifumi/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,231 | ---
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... |
Xenova/sponsorblock-classifier-v2 | 3fd1e1e46d62f4a189d0b5ce3d4c3770bcff7a0a | 2022-04-17T18:00:43.000Z | [
"pytorch",
"bert",
"text-classification",
"generic"
] | text-classification | false | Xenova | null | Xenova/sponsorblock-classifier-v2 | 11 | null | generic | 11,232 | ---
tags:
- text-classification
- generic
library_name: generic
widget:
- text: 'This video is sponsored by squarespace'
example_title: Sponsor
- text: 'Check out the merch at linustechtips.com'
example_title: Unpaid/self promotion
- text: "Don't forget to like, comment and subscribe"
example_title: Interaction r... |
SiriusRen/my-rubbish-model | cc80313e8fdbe1cdb3186b0973ca992cd9ff15e9 | 2022-04-14T07:11:40.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | SiriusRen | null | SiriusRen/my-rubbish-model | 11 | null | transformers | 11,233 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: my-rubbish-model
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. -->
# m... |
luquesky/distilbert-base-uncased-finetuned-emotion | 4ed1f8a48479262a92e36f9a9fba24233bfdf767 | 2022-04-14T17:48:19.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | luquesky | null | luquesky/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,234 | ---
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... |
lewtun/MiniLMv2-L12-H384-distilled-finetuned-clinc | 63195386e6cfcc5f5d3c3bae998acb3c666f267e | 2022-04-25T14:10:02.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"dataset:clinc_oos",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | lewtun | null | lewtun/MiniLMv2-L12-H384-distilled-finetuned-clinc | 11 | null | transformers | 11,235 | ---
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: MiniLMv2-L12-H384-distilled-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
config: plus
split: vali... |
flood/distilbert-base-uncased-finetuned-emotion | 3e8a74238b4335587ca3740ea56c5407090b7405 | 2022-05-27T07:34:17.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | flood | null | flood/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,236 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metric... |
MartinoMensio/racism-models-raw-label-epoch-4 | ffc8ad492bc87e476619082ab7cd0cac0d49aebb | 2022-05-04T16:06:20.000Z | [
"pytorch",
"bert",
"text-classification",
"es",
"transformers",
"license:mit"
] | text-classification | false | MartinoMensio | null | MartinoMensio/racism-models-raw-label-epoch-4 | 11 | null | transformers | 11,237 | ---
language: es
license: mit
widget:
- text: "y porqué es lo que hay que hacer con los menas y con los adultos también!!!! NO a los inmigrantes ilegales!!!!"
---
### Description
This model is a fine-tuned version of [BETO (spanish bert)](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) that has been t... |
MartinoMensio/racism-models-w-m-vote-nonstrict-epoch-4 | 6022ba170584f5eab3c4eed86252494a7993a516 | 2022-05-04T16:29:35.000Z | [
"pytorch",
"bert",
"text-classification",
"es",
"transformers",
"license:mit"
] | text-classification | false | MartinoMensio | null | MartinoMensio/racism-models-w-m-vote-nonstrict-epoch-4 | 11 | null | transformers | 11,238 | ---
language: es
license: mit
widget:
- text: "y porqué es lo que hay que hacer con los menas y con los adultos también!!!! NO a los inmigrantes ilegales!!!!"
---
### Description
This model is a fine-tuned version of [BETO (spanish bert)](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) that has been t... |
Artyom/ArmSpellcheck_beta | ecbb5813f74cf73a1604f70d07b43e17b252bc52 | 2022-05-02T09:54:31.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Artyom | null | Artyom/ArmSpellcheck_beta | 11 | null | transformers | 11,239 | Entry not found |
ShreyaR/finetuned-distil-bert-depression | c0eba014619e85b72fc2a8c4efc66b03be4483d2 | 2022-05-03T20:44:08.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | ShreyaR | null | ShreyaR/finetuned-distil-bert-depression | 11 | null | transformers | 11,240 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned-distil-bert-depression
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... |
theta/Argument_Type_Bert | 1d837cddb63efae0c0e48b46ee3c5b6dea4454a8 | 2022-07-11T14:29:03.000Z | [
"pytorch",
"bert",
"text-classification",
"zh",
"transformers",
"Argument_Type_Bert",
"zh-tw",
"generated_from_trainer",
"model-index"
] | text-classification | false | theta | null | theta/Argument_Type_Bert | 11 | null | transformers | 11,241 | ---
language:
- zh
tags:
- Argument_Type_Bert
- zh
- zh-tw
- generated_from_trainer
model-index:
- name: Argument_Type_Bert
results: []
---
這邊是開發分支，不穩定。 |
gzomer/claim-spotter-multilingual | 79e06688513ce607df5c29b0b229a2706d1969cd | 2022-04-17T18:04:09.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | gzomer | null | gzomer/claim-spotter-multilingual | 11 | null | transformers | 11,242 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: claim-spotter-multilingual
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. -... |
ardallie/distilbert-base-uncased-finetuned-emotion | 9b817c394503b6feefdb6cb3d571c1da0e173cbf | 2022-04-18T03:22:40.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | ardallie | null | ardallie/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,243 | Entry not found |
dfsj/distilbert-base-uncased-finetuned-emotion | fcc1fcaafae3a01a7d38f73e7789ffb7f25e2c65 | 2022-04-18T07:12:17.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | dfsj | null | dfsj/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,244 | ---
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... |
rabiaqayyum/autotrain-mental-health-analysis-752423172 | cd50cab9bd84a0601023e9667a55d5b377c6caa3 | 2022-04-19T06:45:00.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:rabiaqayyum/autotrain-data-mental-health-analysis",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | rabiaqayyum | null | rabiaqayyum/autotrain-mental-health-analysis-752423172 | 11 | null | transformers | 11,245 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- rabiaqayyum/autotrain-data-mental-health-analysis
co2_eq_emissions: 313.3534743349287
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 752423172
- CO2 Emissions (in grams): 313.3534743349287
#... |
GPL/arguana-tsdae-msmarco-distilbert-gpl | 25f2ca96fa0f3d3f9838168389b433e3a500c2b0 | 2022-04-19T15:20:05.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | GPL | null | GPL/arguana-tsdae-msmarco-distilbert-gpl | 11 | null | sentence-transformers | 11,246 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluster... |
robkayinto/xlm-roberta-base-finetuned-panx-fr | 0f14785b4b5c9602d0bb5177570e6a64572c7cec | 2022-07-13T18:11:49.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | robkayinto | null | robkayinto/xlm-roberta-base-finetuned-panx-fr | 11 | null | transformers | 11,247 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-fr
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.fr
metrics:
- name:... |
demdecuong/vihealthbert-base-syllable | 419317680eaa513e6cc786f55dd9316d5e446e9a | 2022-04-20T07:57:30.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | demdecuong | null | demdecuong/vihealthbert-base-syllable | 11 | 1 | transformers | 11,248 | # <a name="introduction"></a> ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining
ViHealthBERT is the a strong baseline language models for Vietnamese in Healthcare domain.
We empirically investigate our model with different training strategies, achieving state of the art (SOTA) performa... |
mateusqc/ner-bert-base-cased-pt-lenerbr | f404d870be2b50291502aadba3e0d810111f33ba | 2022-04-20T19:48:09.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | mateusqc | null | mateusqc/ner-bert-base-cased-pt-lenerbr | 11 | null | transformers | 11,249 | Entry not found |
brad1141/GPT2_v5 | 93b6430a8512ed2ee3d120cf286b44f31f5fc90c | 2022-04-21T05:44:56.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | brad1141 | null | brad1141/GPT2_v5 | 11 | null | transformers | 11,250 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: GPT2_v5
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 comm... |
Wootang01/gpt-neo-125M-finetuned-hkdse-english-paper4 | 9ab9405ced2bf5c2edf29e086aca0ba61bc48b2a | 2022-04-22T15:26:00.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | Wootang01 | null | Wootang01/gpt-neo-125M-finetuned-hkdse-english-paper4 | 11 | 1 | transformers | 11,251 | Entry not found |
PrasunMishra/finetuning-sentiment-model-3000-samples | 1d474973ea5bd6fe8d4c1e2fd3b6315c7db1339f | 2022-04-22T01:20:52.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | PrasunMishra | null | PrasunMishra/finetuning-sentiment-model-3000-samples | 11 | null | transformers | 11,252 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: finetuning-sentiment-model-3000-samples
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... |
okho0653/distilbert-base-uncased-zero-shot-sentiment-model | b0f4edb1bc7a4dbed1103dc48245698aaf948a5f | 2022-04-22T01:33:28.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | okho0653 | null | okho0653/distilbert-base-uncased-zero-shot-sentiment-model | 11 | null | transformers | 11,253 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-zero-shot-sentiment-model
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 c... |
Xibanya/DS9Bot | 5b3310e5f6ca1acc144144597ef272d1476e82cb | 2022-04-24T22:32:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | Xibanya | null | Xibanya/DS9Bot | 11 | null | transformers | 11,254 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ds9_all
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. -->
# ds9_all
This model is a fine-tune... |
allenai/aspire-contextualsentence-multim-biomed | b7900aff86c9b8b608dfa1989f69fd6489d1903f | 2022-04-24T20:05:33.000Z | [
"pytorch",
"bert",
"feature-extraction",
"arxiv:2111.08366",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | allenai | null | allenai/aspire-contextualsentence-multim-biomed | 11 | null | transformers | 11,255 | ---
license: apache-2.0
---
## Overview
Model included in a paper for modeling fine grained similarity between documents:
**Title**: "Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity"
**Authors**: Sheshera Mysore, Arman Cohan, Tom Hope
**Paper**: https://arxiv.org/abs/2111.... |
mrosinski/distilbert-base-uncased-finetuned-emotion | c1feeb777f2aa1094979f7cf5448cbcd8e3b9fab | 2022-07-21T03:22:06.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | mrosinski | null | mrosinski/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,256 | ---
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... |
avacaondata/bertin-exist22-task1 | f497100c3c7aad178e992a62322c0217b49c0943 | 2022-04-23T23:28:22.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | avacaondata | null | avacaondata/bertin-exist22-task1 | 11 | null | transformers | 11,257 | Entry not found |
PdF/xlm-roberta-base-finetuned-panx-de | 4c36892395f28edab0d8eadec8762025ddead40f | 2022-04-24T01:31:50.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | PdF | null | PdF/xlm-roberta-base-finetuned-panx-de | 11 | null | transformers | 11,258 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name:... |
IDEA-CCNL/Yuyuan-Bart-400M | c1bdb55f4151278bd236d74ccd6d7d684d5118a7 | 2022-04-24T10:07:05.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"arxiv:2204.03905",
"transformers",
"biobart",
"biomedical",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | IDEA-CCNL | null | IDEA-CCNL/Yuyuan-Bart-400M | 11 | 2 | transformers | 11,259 | ---
language:
- en
license: apache-2.0
tags:
- bart
- biobart
- biomedical
inference: true
widget:
- text: "Influenza is a <mask> disease."
- types: "text-generation"
---
# Yuyuan-Bart-400M, one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM).
The Yuyuan-Bart-400M is a biomedic... |
Hate-speech-CNERG/malayalam-codemixed-abusive-MuRIL | 91522d2bbcbc8d1e786500e37c30b1f44135ee33 | 2022-05-03T08:47:17.000Z | [
"pytorch",
"bert",
"text-classification",
"ma-en",
"arxiv:2204.12543",
"transformers",
"license:afl-3.0"
] | text-classification | false | Hate-speech-CNERG | null | Hate-speech-CNERG/malayalam-codemixed-abusive-MuRIL | 11 | null | transformers | 11,260 | ---
language: ma-en
license: afl-3.0
---
This model is used to detect **abusive speech** in **Code-Mixed Malayalam**. It is finetuned on MuRIL model using Code-Mixed Malayalam abusive speech dataset.
The model is trained with learning rates of 2e-5. Training code can be found at this [url](https://github.com/hate-aler... |
cynthiachan/procedure_classification_distilbert | f5fa41c5b143d745308d66d4eb0167a557cb501b | 2022-04-26T05:42:29.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | cynthiachan | null | cynthiachan/procedure_classification_distilbert | 11 | null | transformers | 11,261 | Entry not found |
gagan3012/ArOCRv3 | 7612e56dc32637b2a8901fd10c485801caccdc06 | 2022-04-27T09:56:43.000Z | [
"pytorch",
"tensorboard",
"vision-encoder-decoder",
"transformers"
] | null | false | gagan3012 | null | gagan3012/ArOCRv3 | 11 | null | transformers | 11,262 | Entry not found |
manueltonneau/bert-twitter-pt-job-search | ed4429390acf6e83fcdc0fa496c782b1539cf61e | 2022-04-27T10:25:44.000Z | [
"pytorch",
"bert",
"text-classification",
"pt",
"arxiv:2203.09178",
"transformers"
] | text-classification | false | manueltonneau | null | manueltonneau/bert-twitter-pt-job-search | 11 | null | transformers | 11,263 | ---
language: pt # <-- my language
widget:
- text: "Preciso de um emprego"
---
# Detection of employment status disclosures on Twitter
## Model main characteristics:
- class: Job Search (1), else (0)
- country: BR
- language: Portuguese
- architecture: BERT base
## Model description
This model is a versio... |
ajtamayoh/bert-finetuned-ADEs_model_1 | d0d7256e39b46017a47e8b7b4f40240511490bcc | 2022-04-27T15:20:54.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | ajtamayoh | null | ajtamayoh/bert-finetuned-ADEs_model_1 | 11 | null | transformers | 11,264 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ADEs_model_1
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 th... |
classla/wav2vec2-xls-r-parlaspeech-hr-lm | 5032954a2c46442d3bcd7aedea30b23829b7cbd7 | 2022-05-18T14:20:40.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hr",
"dataset:parlaspeech-hr",
"transformers",
"audio",
"parlaspeech"
] | automatic-speech-recognition | false | classla | null | classla/wav2vec2-xls-r-parlaspeech-hr-lm | 11 | null | transformers | 11,265 | ---
language: hr
datasets:
- parlaspeech-hr
tags:
- audio
- automatic-speech-recognition
- parlaspeech
widget:
- example_title: example 1
src: https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-hr-lm/raw/main/1800.m4a
- example_title: example 2
src: https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-h... |
schnell/wakaformer | 07cc721f4ae1bf5256117f79f8fcddf45cb54c9c | 2022-04-29T15:18:00.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | schnell | null | schnell/wakaformer | 11 | 0 | transformers | 11,266 | ---
license: apache-2.0
---
|
cfilt/HiNER-collapsed-muril-base-cased | b88260cea1f9cb60dfc73581d041b1cc6e6f4486 | 2022-05-01T19:48:15.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:cfilt/HiNER-collapsed",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | cfilt | null | cfilt/HiNER-collapsed-muril-base-cased | 11 | null | transformers | 11,267 | ---
tags:
- generated_from_trainer
datasets:
- cfilt/HiNER-collapsed
metrics:
- precision
- recall
- f1
model-index:
- name: HiNER-collapsed-muril-base-cased
results:
- task:
name: Token Classification
type: token-classification
dataset:
type: cfilt/HiNER-collapsed
name: HiNER Collapsed
... |
ChrisZeng/t5-base-detox | 03ecfe96e3a425dc8227be124f492c16271ef0d8 | 2022-04-30T21:53:04.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | ChrisZeng | null | ChrisZeng/t5-base-detox | 11 | null | transformers | 11,268 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-detox
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-base-detox
This m... |
hf-internal-testing/wav2vec2-conformer-xvector | 4096302af149a7fd6384a9b489e69588017ee245 | 2022-05-01T16:03:28.000Z | [
"pytorch",
"wav2vec2-conformer",
"audio-xvector",
"transformers"
] | null | false | hf-internal-testing | null | hf-internal-testing/wav2vec2-conformer-xvector | 11 | null | transformers | 11,269 | Entry not found |
Preetiha/clause_classification | bef152c6d44e2e2a87dd6cf70c2d571df021a322 | 2022-05-02T00:07:12.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:Preetiha/autotrain-data-clause-classification",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | Preetiha | null | Preetiha/clause_classification | 11 | 1 | transformers | 11,270 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Preetiha/autotrain-data-clause-classification
co2_eq_emissions: 44.494127975699804
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 812025458
- CO2 Emissions (in grams): 44.494127975699804
## ... |
alla1101/distilbert-base-uncased-finetuned-emotion | e19f6592135c7851815fd0e28447487bf404d3f6 | 2022-05-03T08:11:40.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | alla1101 | null | alla1101/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,271 | ---
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... |
0x7194633/BulgakovLM-tur | 27434232933ace59d1e03dc9896c6938f782a19c | 2022-05-03T08:56:52.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | 0x7194633 | null | 0x7194633/BulgakovLM-tur | 11 | null | transformers | 11,272 | Entry not found |
iis2009002/distilbert-base-uncased-finetuned-emotion | 7d2aaf6b3e4a957540e87728a43ff7852ad1b402 | 2022-05-04T07:49:35.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | iis2009002 | null | iis2009002/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,273 | ---
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... |
varsha12/BERT_DNRTI | fdd9ff8dd442d04205a14f745be8b6e086e1721b | 2022-06-28T17:26:26.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | token-classification | false | varsha12 | null | varsha12/BERT_DNRTI | 11 | null | transformers | 11,274 | ---
license: afl-3.0
---
|
vumichien/wav2vec2-xls-r-300m-japanese-large-ver2 | 74f6be34415dca7aa9b1ba7e41f5d44fdc06fe5d | 2022-05-17T10:41:08.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | vumichien | null | vumichien/wav2vec2-xls-r-300m-japanese-large-ver2 | 11 | null | transformers | 11,275 | Entry not found |
vuiseng9/bert-l-squadv1.1-sl384 | 8177c08284262c5cdae638fa035eb40783596b97 | 2022-05-07T00:15:48.000Z | [
"pytorch",
"tf",
"jax",
"onnx",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | vuiseng9 | null | vuiseng9/bert-l-squadv1.1-sl384 | 11 | null | transformers | 11,276 | ---
license: apache-2.0
datasets:
- squad
model-index:
- name: bert-l-squadv1.1-sl384
results: []
---
This model is a fork of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad).
ONNX and OpenVINO-IR models are enclosed.
### Evaluatio... |
hidude562/Wiki-Complexity | d511307f0a832e9b586b69c4e5a9c4149a112708 | 2022-05-08T15:11:01.000Z | [
"pytorch",
"jax",
"distilbert",
"text-classification",
"en",
"dataset:hidude562/autotrain-data-SimpleDetect",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | hidude562 | null | hidude562/Wiki-Complexity | 11 | null | transformers | 11,277 | ---
tags: autotrain
language: en
widget:
- text: "I quite enjoy using AutoTrain due to its simplicity."
datasets:
- hidude562/autotrain-data-SimpleDetect
co2_eq_emissions: 0.21691606119445225
---
# Model Description
This model detects if you are writing in a format that is more similar to Simple English Wikipedia or En... |
Jeevesh8/bert_ft_qqp-26 | 5fd9081fcd8511de41b2ba425884d4e90921106b | 2022-05-09T10:36:44.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/bert_ft_qqp-26 | 11 | null | transformers | 11,278 | Entry not found |
Jeevesh8/bert_ft_qqp-99 | e429b7cd0c1dd70376f8dc03dfa8b773fda50395 | 2022-05-09T13:43:31.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/bert_ft_qqp-99 | 11 | null | transformers | 11,279 | Entry not found |
tomhosking/deberta-v3-base-debiased-nli | 2d83b2709292f3d9cca8c35d43137f9b17750753 | 2022-05-10T08:15:40.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | tomhosking | null | tomhosking/deberta-v3-base-debiased-nli | 11 | null | transformers | 11,280 | ---
license: apache-2.0
widget:
- text: "[CLS] Rover is a dog. [SEP] Rover is a cat. [SEP]"
---
`deberta-v3-base`, fine tuned on the debiased NLI dataset from "Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets", Wu et al., 2022.
Tuned using the code at https://github.com/jimmyco... |
CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_42 | 4b070292a79109ada92daf31c0747a6172cb2fd4 | 2022-05-10T23:49:46.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_42 | 11 | null | transformers | 11,281 | Entry not found |
CEBaB/gpt2.CEBaB.sa.2-class.exclusive.seed_66 | 7b0e049d8a8856580ed00dd480f7d46532c8acb8 | 2022-05-11T00:24:10.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.2-class.exclusive.seed_66 | 11 | null | transformers | 11,282 | Entry not found |
CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_66 | c1063edfd01082a9856ee9698a3b7c8574bd26fa | 2022-05-11T00:41:15.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_66 | 11 | null | transformers | 11,283 | Entry not found |
CEBaB/gpt2.CEBaB.sa.2-class.exclusive.seed_77 | 97fb2f754530aaf0b7b035ac3b9e05e1b233cb77 | 2022-05-11T01:16:26.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.2-class.exclusive.seed_77 | 11 | null | transformers | 11,284 | Entry not found |
CEBaB/gpt2.CEBaB.sa.2-class.exclusive.seed_88 | f0bf69b8bb96d123a0b259678962ffc9af3bb290 | 2022-05-11T02:08:44.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.2-class.exclusive.seed_88 | 11 | null | transformers | 11,285 | Entry not found |
CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_88 | fb2abe7a7d3198f7c1c5e4691d191c4cf5b61c18 | 2022-05-11T02:25:44.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_88 | 11 | null | transformers | 11,286 | Entry not found |
CEBaB/gpt2.CEBaB.sa.5-class.exclusive.seed_88 | c15391964ea7e04635988233f98701c06ee39415 | 2022-05-11T02:42:44.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.5-class.exclusive.seed_88 | 11 | null | transformers | 11,287 | Entry not found |
CEBaB/gpt2.CEBaB.sa.2-class.exclusive.seed_99 | 9ba9e845e50ecc41762ba9bc5215d7b5e6f389ba | 2022-05-11T03:00:02.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.2-class.exclusive.seed_99 | 11 | null | transformers | 11,288 | Entry not found |
CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_99 | f9aa79a382a34016fc1c5bf6bccd4971bc33a19b | 2022-05-11T03:17:19.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.3-class.exclusive.seed_99 | 11 | null | transformers | 11,289 | Entry not found |
CEBaB/gpt2.CEBaB.sa.5-class.exclusive.seed_99 | 51cae8e619ab8bcb01a3f1238da48d9849a7fc76 | 2022-05-11T03:34:36.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | CEBaB | null | CEBaB/gpt2.CEBaB.sa.5-class.exclusive.seed_99 | 11 | null | transformers | 11,290 | Entry not found |
AndyGo/speechbrain-asr-crdnn-rnnlm-buriy-audiobooks-2-val | a0dbdbfcdc6df87094a1cc83770664da9bfeec58 | 2022-05-19T14:53:31.000Z | [
"ru",
"dataset:buriy-audiobooks-2-val",
"arxiv:2106.04624",
"speechbrain",
"automatic-speech-recognition",
"CTC",
"Attention",
"pytorch",
"license:apache-2.0"
] | automatic-speech-recognition | false | AndyGo | null | AndyGo/speechbrain-asr-crdnn-rnnlm-buriy-audiobooks-2-val | 11 | null | speechbrain | 11,291 | ---
language: "ru"
thumbnail:
tags:
- automatic-speech-recognition
- CTC
- Attention
- pytorch
- speechbrain
license: "apache-2.0"
datasets:
- buriy-audiobooks-2-val
metrics:
- wer
- cer
---
| Release | Test WER | GPUs |
|:-------------:|:--------------:| :--------:|
| 22-05-11 | - | 1xK80 24GB |
after 9 epochs trai... |
sismetanin/rubert-rusentitweet | 3d0096723baa6adbe1052ce4277bcc6982dfdddd | 2022-05-12T20:53:24.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | sismetanin | null | sismetanin/rubert-rusentitweet | 11 | null | transformers | 11,292 | precision recall f1-score support
negative 0.681957 0.675758 0.678843 660
neutral 0.707845 0.735019 0.721176 1068
positive 0.596591 0.652174 0.623145 483
skip 0.583062 0.485095 0.529586 369
speech 0.827160 0.676768 0.744444 ... |
Ninh/distilbert-base-uncased-finetuned-emotion | d8843939d3478c5a8a56e4fc63b9b260d5107e53 | 2022-05-13T02:41:30.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Ninh | null | Ninh/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,293 | ---
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... |
maazmikail/finetuning-sentiment-model-urdu-roberta | f558ad46571eac72b6cb0c436f4290b9f3744007 | 2022-05-16T19:01:35.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | maazmikail | null | maazmikail/finetuning-sentiment-model-urdu-roberta | 11 | null | transformers | 11,294 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: finetuning-sentiment-model-urdu-roberta
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. -->
# fi... |
W42/distilbert-base-uncased-finetuned-emotion | 03eece33d522ae6094b10f1d231a3633abc58eb7 | 2022-05-16T15:20:30.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | W42 | null | W42/distilbert-base-uncased-finetuned-emotion | 11 | null | transformers | 11,295 | ---
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... |
CEBaB/bert-base-uncased.CEBaB.absa.exclusive.seed_66 | 806e243a2f86975faef20b95e8c73556e4f9705c | 2022-05-17T18:48:27.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | CEBaB | null | CEBaB/bert-base-uncased.CEBaB.absa.exclusive.seed_66 | 11 | null | transformers | 11,296 | Entry not found |
CEBaB/bert-base-uncased.CEBaB.absa.exclusive.seed_77 | 333e40b6570ed7666306339f8914d1bfac4f5ae5 | 2022-05-17T18:53:17.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | CEBaB | null | CEBaB/bert-base-uncased.CEBaB.absa.exclusive.seed_77 | 11 | null | transformers | 11,297 | Entry not found |
imohammad12/GRS-Constrained-Paraphrasing-Bart | 28ca61cc4b875b83b0c0fbaa6d84e00b7b7d5d75 | 2022-05-26T10:49:26.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"transformers",
"grs",
"autotrain_compatible"
] | text2text-generation | false | imohammad12 | null | imohammad12/GRS-Constrained-Paraphrasing-Bart | 11 | null | transformers | 11,298 | ---
language: en
tags: grs
---
## Citation
Please star the [GRS GitHub repo](https://github.com/imohammad12/GRS) and cite the paper if you found our model useful:
```
@inproceedings{dehghan-etal-2022-grs,
title = "{GRS}: Combining Generation and Revision in Unsupervised Sentence Simplification",
author = "Deh... |
elvaklose/finetuning-sentiment-model-3000-samples | b0677146365d9a2022231bf7bcd8bb68e5f768b7 | 2022-05-20T05:51:48.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | elvaklose | null | elvaklose/finetuning-sentiment-model-3000-samples | 11 | null | transformers | 11,299 | ---
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... |
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