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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KoichiYasuoka/deberta-large-japanese-wikipedia-ud-head | dc69690b1b09df5edc6ff779f06b069239ecb1a3 | 2022-07-23T14:44:12.000Z | [
"pytorch",
"deberta-v2",
"question-answering",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"wikipedia",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | question-answering | false | KoichiYasuoka | null | KoichiYasuoka/deberta-large-japanese-wikipedia-ud-head | 16 | null | transformers | 9,400 | ---
language:
- "ja"
tags:
- "japanese"
- "wikipedia"
- "question-answering"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "question-answering"
widget:
- text: "国語"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: "教科書"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
-... |
ArneD/xlm-roberta-base-finetuned-panx-de | 3bd67234019724b0b9ba066e85fa83233e793041 | 2022-07-06T07:23:24.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | ArneD | null | ArneD/xlm-roberta-base-finetuned-panx-de | 16 | null | transformers | 9,401 | ---
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:... |
bhadresh-savani/distilbert-base-uncased-finetuned-emotion | 11350faca8e85c4861766cec4c30dec55fd06bb9 | 2022-07-14T06:59:49.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | bhadresh-savani | null | bhadresh-savani/distilbert-base-uncased-finetuned-emotion | 16 | null | transformers | 9,402 | ---
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: bertweet-base-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name: Accu... |
tj-solergibert/distilbert-base-uncased-finetuned-emotion | 38145055ffaf8d9d170279a7a206d4977eab3d9d | 2022-07-11T21:58:32.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | tj-solergibert | null | tj-solergibert/distilbert-base-uncased-finetuned-emotion | 16 | null | transformers | 9,403 | ---
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... |
userGagan/segformer-b0-finetuned-segments-sidewalk-3 | 7885a555d2b3db4d72e38194169ffbb9dd9267de | 2022-07-14T04:32:19.000Z | [
"pytorch",
"tensorboard",
"segformer",
"transformers"
] | null | false | userGagan | null | userGagan/segformer-b0-finetuned-segments-sidewalk-3 | 16 | null | transformers | 9,404 | Entry not found |
juliensimon/distilbert-base-uncased-finetuned-cola | 314e8179c7d225ac0e135183caba52dcda653ca9 | 2022-07-12T14:05:14.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | juliensimon | null | juliensimon/distilbert-base-uncased-finetuned-cola | 16 | null | transformers | 9,405 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... |
omarxadel/wav2vec2-large-xlsr-53-arabic-egyptian | 6d87f4de2e66a964f6fb19790092360ede673c57 | 2022-07-12T14:40:36.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"dataset:MGB-3",
"dataset:egyptian-arabic-conversational-speech-corpus",
"transformers",
"CTC",
"Attention",
"Transformer",
"license:cc-by-nc-4.0",
"model-index"
] | automatic-speech-recognition | false | omarxadel | null | omarxadel/wav2vec2-large-xlsr-53-arabic-egyptian | 16 | null | transformers | 9,406 | ---
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... |
huggingtweets/scottduncanwx | e6542ec5ddde78c6b36050e3c0f3e87bccfd3da6 | 2022-07-12T14:43:36.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/scottduncanwx | 16 | 1 | transformers | 9,407 | ---
language: en
thumbnail: http://www.huggingtweets.com/scottduncanwx/1657637010818/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; w... |
Loc/lucky-model | 4a9b4b268227f847173d63ac90db746de7fc9566 | 2022-07-13T07:06:05.000Z | [
"pytorch",
"tf",
"jax",
"vit",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"arxiv:2006.03677",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | Loc | null | Loc/lucky-model | 16 | null | transformers | 9,408 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
- 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.jpg
example_title: Teap... |
ClassCat/gpt2-small-catalan-v2 | 6561d0e78fa1726176f84513d8becef7fa914007 | 2022-07-16T11:35:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"ca",
"dataset:cc100",
"dataset:oscar",
"dataset:wikipedia",
"transformers",
"license:cc-by-sa-4.0"
] | text-generation | false | ClassCat | null | ClassCat/gpt2-small-catalan-v2 | 16 | 1 | transformers | 9,409 | ---
language: ca
license: cc-by-sa-4.0
datasets:
- cc100
- oscar
- wikipedia
widget:
- text: "Vas jugar a"
- text: "M'agrada el clima i el menjar"
- text: "Ell està una mica"
---
## GPT2 Catalan small model Version 2 (Uncased)
### Prerequisites
transformers==4.19.2
### Model architecture
This model uses GPT2 base ... |
peerawatchomp/t5-base-grammar-mcq | c1def3a1894a97b60c1262daf6b816179921276a | 2022-07-14T09:30:17.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | peerawatchomp | null | peerawatchomp/t5-base-grammar-mcq | 16 | null | transformers | 9,410 | ---
license: mit
---
|
yochen/distilroberta-base-wiki-mark | b5be2720718f457f9e5c2f10b26d14a72154b280 | 2022-07-25T09:49:23.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | yochen | null | yochen/distilroberta-base-wiki-mark | 16 | null | transformers | 9,411 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-wiki-mark
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. -->
# distil... |
Team-PIXEL/pixel-base-finetuned-tydiqa-goldp | 33ef613a5d626a620bbea29069fcf30797d2d5d4 | 2022-07-14T12:54:13.000Z | [
"pytorch",
"pixel",
"question-answering",
"dataset:tydiqa",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Team-PIXEL | null | Team-PIXEL/pixel-base-finetuned-tydiqa-goldp | 16 | null | transformers | 9,412 | ---
tags:
- generated_from_trainer
datasets:
- tydiqa
model-index:
- name: pixel-base-finetuned-tydiqa-goldp
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. -->
# pi... |
jinwooChoi/SKKU_AP_SA_KBT2 | 62ededa202f736fa875bb072e68f3d5b0941fb30 | 2022-07-25T06:59:43.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | jinwooChoi | null | jinwooChoi/SKKU_AP_SA_KBT2 | 16 | null | transformers | 9,413 | Entry not found |
AbhirupGhosh/opus-mt-finetuned-hi-en | 2de898dab31cb37b0d9b0234b6297fa67bea10f5 | 2022-07-16T17:29:33.000Z | [
"pytorch",
"tf",
"marian",
"text2text-generation",
"hi",
"en",
"arxiv:1706.03762",
"transformers",
"translation",
"Hindi",
"generated_from_keras_callback",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | AbhirupGhosh | null | AbhirupGhosh/opus-mt-finetuned-hi-en | 16 | null | transformers | 9,414 | ---
license: apache-2.0
language:
- hi
- en
tags:
- translation
- Hindi
- generated_from_keras_callback
model-index:
- name: opus-mt-finetuned-hi-en
results: []
---
# opus-mt-finetuned-hi-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-hi-en](https://huggingface.co/Helsinki-NLP/opus-mt-hi-en) on [Hin... |
Prafuld3/distilbert-base-uncased-finetuned-emotion | a19386973207ae4f836d4c061b6707046d76b9b9 | 2022-07-18T08:17:49.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Prafuld3 | null | Prafuld3/distilbert-base-uncased-finetuned-emotion | 16 | null | transformers | 9,415 | ---
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... |
Fagen/OxxxyBlok | 7e8979ebf8d10868747928bedd7e34a2215d8c03 | 2022-07-18T14:46:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:unlicense"
] | text-generation | false | Fagen | null | Fagen/OxxxyBlok | 16 | null | transformers | 9,416 | ---
license: unlicense
---
|
Atharvgarg/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-multi-news | ea3bcd4ddd1278d321ab52c89046a94681ea9ed4 | 2022-07-19T14:09:31.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:multi_news",
"transformers",
"summarisation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Atharvgarg | null | Atharvgarg/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-multi-news | 16 | 1 | transformers | 9,417 | ---
license: apache-2.0
tags:
- summarisation
- generated_from_trainer
datasets:
- multi_news
metrics:
- rouge
model-index:
- name: bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-multi-news
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
... |
sam34738/xlm-kabita | d2137a0ad8a1b03ac8db1f5266f7ed97c58af3d7 | 2022-07-19T17:36:42.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | sam34738 | null | sam34738/xlm-kabita | 16 | null | transformers | 9,418 | ---
tags:
- generated_from_trainer
model-index:
- name: xlm-kabita
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. -->
# xlm-kabita
This model is a fine-tuned versi... |
Ahmed007/T5-ibn-Shaddad | e0f6a904bc9c7ad18e80fe736c429ed18a85e554 | 2022-07-20T11:31:51.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Ahmed007 | null | Ahmed007/T5-ibn-Shaddad | 16 | null | transformers | 9,419 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: T5-ibn-Shaddad
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-ibn-Shaddad
This... |
buddhist-nlp/classical-tibetan-english | ee0c403b60aadfe2faef10cd478cd19e1b64fe3e | 2022-07-21T14:00:47.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | buddhist-nlp | null | buddhist-nlp/classical-tibetan-english | 16 | null | transformers | 9,420 | Entry not found |
helliun/article_pol | 554083e6e79c5ec4e8d6e354ff1cbf8d0a9e3667 | 2022-07-26T19:52:04.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | helliun | null | helliun/article_pol | 16 | null | transformers | 9,421 | Entry not found |
benjamyu/autotrain-ms-2-1174443640 | 935af3eced3f2d3c6378b3a8e7b9f16fa323dd09 | 2022-07-25T13:26:05.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:benjamyu/autotrain-data-ms-2",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | benjamyu | null | benjamyu/autotrain-ms-2-1174443640 | 16 | null | transformers | 9,422 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- benjamyu/autotrain-data-ms-2
co2_eq_emissions: 4.619328856849087
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1174443640
- CO2 Emissions (in grams): 4.619328856849087
## Validation Metrics
- Loss: 2.6... |
sysresearch101/t5-large-finetuned-xsum-cnn | 0fd59c0db86eab4b8354fb4ccf1dc664d515c38d | 2022-07-29T08:06:26.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sysresearch101 | null | sysresearch101/t5-large-finetuned-xsum-cnn | 16 | null | transformers | 9,423 | Entry not found |
BramVanroy/bert-base-dutch-cased-hebban-reviews | 23ba004d071f15e144e58ae01454b139e2db27d9 | 2022-07-29T09:36:46.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"nl",
"dataset:BramVanroy/hebban-reviews",
"transformers",
"sentiment-analysis",
"dutch",
"text",
"license:mit",
"model-index"
] | text-classification | false | BramVanroy | null | BramVanroy/bert-base-dutch-cased-hebban-reviews | 16 | null | transformers | 9,424 | ---
datasets:
- BramVanroy/hebban-reviews
language:
- nl
license: mit
metrics:
- accuracy
- f1
- precision
- qwk
- recall
model-index:
- name: bert-base-dutch-cased-hebban-reviews
results:
- dataset:
config: filtered_sentiment
name: BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0
revision: ... |
Den4ikAI/rugpt3_2ch | ca577ccc7f995143c4b48cae6a1adf21cf91829d | 2022-07-26T16:43:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"rus",
"transformers",
"license:mit"
] | text-generation | false | Den4ikAI | null | Den4ikAI/rugpt3_2ch | 16 | 1 | transformers | 9,425 | ---
license: mit
language: rus
---
RUGPT-3 обученная на диалогах с имиджборд по типу 2ch
Для генерации ответа в модель нужно ввести такой формат данных:
"- Привет\n-"
Пример инференса тут: https://github.com/Den4ikAI/rugpt3_2ch |
abdulmatinomotoso/xsum_headline_generator | 399026c6a176223c947f8bac235ee164a24355e8 | 2022-07-27T00:03:58.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | abdulmatinomotoso | null | abdulmatinomotoso/xsum_headline_generator | 16 | null | transformers | 9,426 | ---
tags:
- generated_from_trainer
model-index:
- name: xsum_headline_generator
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. -->
# xsum_headline_generator
This m... |
Go2Heart/BERT_Mod_1 | d8a7bccac709fdabfbf164509c9e2478c1b5e3f2 | 2022-07-27T16:17:44.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Go2Heart | null | Go2Heart/BERT_Mod_1 | 16 | null | transformers | 9,427 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: BERT_Mod_1
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- name: Matthews C... |
relbert/relbert-roberta-large-conceptnet-hc-average-prompt-a-nce | 2d9b5c7d7f9d218e12ac24b06c0a21b412242bef | 2022-07-28T07:17:13.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | relbert | null | relbert/relbert-roberta-large-conceptnet-hc-average-prompt-a-nce | 16 | null | transformers | 9,428 | Entry not found |
bheshaj/bart-large-billsum-epochs20 | cc4e8902cee6387a6c8dc561277aeecb2f3081a0 | 2022-07-28T11:12:53.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | bheshaj | null | bheshaj/bart-large-billsum-epochs20 | 16 | null | transformers | 9,429 | ---
license: apache-2.0
---
|
yanaiela/roberta-base-epoch_82 | f0007ec36644f58d5197e76ca83bd2945d1ae61d | 2022-07-29T23:09:44.000Z | [
"pytorch",
"roberta",
"fill-mask",
"en",
"dataset:wikipedia",
"dataset:bookcorpus",
"arxiv:1907.11692",
"arxiv:2207.14251",
"transformers",
"roberta-base",
"roberta-base-epoch_82",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | yanaiela | null | yanaiela/roberta-base-epoch_82 | 16 | null | transformers | 9,430 | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_82
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 82
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... |
Andrija/SRoBERTa | 7edd3d8a779ff36a48f8d23394ddfd5079fc865a | 2021-08-09T19:38:58.000Z | [
"pytorch",
"roberta",
"fill-mask",
"hr",
"sr",
"dataset:leipzig",
"transformers",
"masked-lm",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Andrija | null | Andrija/SRoBERTa | 15 | 1 | transformers | 9,431 | ---
datasets:
- leipzig
language:
- hr
- sr
tags:
- masked-lm
widget:
- text: "Gde je <mask>."
license: apache-2.0
---
# Transformer language model for Croatian and Serbian
Trained on 0.7GB dataset Croatian and Serbian language for one epoch.
Dataset from Leipzig Corpora.
# Information of dataset
| Model ... |
Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition | 3430ab406e1b1fdc23284372b19d1bc235d18c67 | 2021-10-20T05:41:55.000Z | [
"pytorch",
"wav2vec2",
"audio-classification",
"jp",
"dataset:jtes",
"transformers",
"audio",
"speech",
"speech-emotion-recognition"
] | audio-classification | false | Bagus | null | Bagus/wav2vec2-xlsr-japanese-speech-emotion-recognition | 15 | null | transformers | 9,432 | ---
language: jp
datasets:
- jtes
tags:
- audio
- audio-classification
- speech
- speech-emotion-recognition
---
This is for (private) DEMO only. |
BigSalmon/InformalToFormalLincolnDistilledGPT2 | 6d1979b4571951ca14150f004e5045aa0bd9a2c4 | 2021-12-23T03:39:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/InformalToFormalLincolnDistilledGPT2 | 15 | null | transformers | 9,433 | Informal to Formal:
```
from transformers import AutoTokenizer, AutoModelWithLMHead
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincolnDistilledGPT2")
model = AutoModelWithLMHead.from_pretrained("BigSalmon/InformalToFormalLincolnDistilledGPT2")
```
```
https://huggingface.co/spaces/BigSalmo... |
Buntan/bert-finetuned-ner | e4df0b1baad36dc465cdc99ce21d659300c7d7ce | 2021-12-11T10:26:36.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Buntan | null | Buntan/bert-finetuned-ner | 15 | null | transformers | 9,434 | ---
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... |
Cameron/BERT-Jigsaw | fb180e502cbd5b82bc54be2858317eb8cc62c392 | 2021-05-18T17:21:10.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Cameron | null | Cameron/BERT-Jigsaw | 15 | null | transformers | 9,435 | Entry not found |
Contrastive-Tension/BERT-Base-CT | f1cafceb4374b5b374defd6ca7a8391d5b3d58d9 | 2021-05-18T17:49:20.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Contrastive-Tension | null | Contrastive-Tension/BERT-Base-CT | 15 | null | transformers | 9,436 | Entry not found |
EhsanYB/bert-ehsan-ner-accelerate | 33d6d1c725c98d56c77a0da5329c07a177b4b458 | 2022-01-14T10:50:23.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | EhsanYB | null | EhsanYB/bert-ehsan-ner-accelerate | 15 | null | transformers | 9,437 | Entry not found |
GeniusVoice/bert-base-dutch-cased-finetuned-gem | ca9b0b4e758ee2138e02db8595c8b19be436d412 | 2021-07-13T14:06:42.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"nl",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | false | GeniusVoice | null | GeniusVoice/bert-base-dutch-cased-finetuned-gem | 15 | null | transformers | 9,438 | ---
language:
- nl
tags:
- generated_from_trainer
model_index:
- name: bert-base-dutch-cased-finetuned-gem
results:
- task:
name: Masked Language Modeling
type: fill-mask
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probabl... |
Geotrend/bert-base-de-cased | d54397485533eb9eb0171915fcb720c47f8472c3 | 2021-05-18T18:58:49.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"de",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/bert-base-de-cased | 15 | null | transformers | 9,439 | ---
language: de
datasets: wikipedia
license: apache-2.0
---
# bert-base-de-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/disti... |
Geotrend/bert-base-en-tr-cased | 68e431759fc6bd131395b23376b8a39837291fbd | 2021-05-18T19:48:09.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/bert-base-en-tr-cased | 15 | null | transformers | 9,440 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
widget:
- text: "Google generated 46 billion [MASK] in revenue."
- text: "Paris is the capital of [MASK]."
- text: "Algiers is the largest city in [MASK]."
---
# bert-base-en-tr-cased
We are sharing smaller versions of [bert-base-multilingual-cased... |
Geotrend/distilbert-base-ar-cased | a82a605cb4f8cd866483123be3c5283c811ff456 | 2021-08-16T13:19:01.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"ar",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-ar-cased | 15 | null | transformers | 9,441 | ---
language: ar
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-ar-cased
We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages.
Our versions give exactly the same representations pro... |
Harveenchadha/hindi_large_wav2vec2 | 0053bf147465b0101391b4d5a7dd7777f58d4230 | 2022-03-23T18:28:53.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hi",
"dataset:Harveenchadha/indic-voice",
"transformers",
"hf-asr-leaderboard",
"model_for_talk",
"mozilla-foundation/common_voice_7_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Harveenchadha | null | Harveenchadha/hindi_large_wav2vec2 | 15 | null | transformers | 9,442 | ---
license: apache-2.0
language:
- hi
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- hi
- model_for_talk
- mozilla-foundation/common_voice_7_0
- robust-speech-event
datasets:
- Harveenchadha/indic-voice
model-index:
- name: Hindi Large
results:
- task:
name: Automatic Speech Recognition
ty... |
Helsinki-NLP/opus-mt-art-en | a4c1384d26ca671492bfa97342442040305f8c0e | 2021-01-18T07:47:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"eo",
"io",
"art",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-art-en | 15 | null | transformers | 9,443 | ---
language:
- eo
- io
- art
- en
tags:
- translation
license: apache-2.0
---
### art-eng
* source group: Artificial languages
* target group: English
* OPUS readme: [art-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/art-eng/README.md)
* model: transformer
* source language(s): af... |
Helsinki-NLP/opus-mt-ceb-es | 94ff5e6902541d95fc1890e7e5e185477d922271 | 2021-09-09T21:28:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ceb",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ceb-es | 15 | null | transformers | 9,444 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ceb-es
* source languages: ceb
* target languages: es
* OPUS readme: [ceb-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ceb-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-chk-sv | de1bf0196adc388148bb52c5388fd795c46191b6 | 2021-09-09T21:28:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"chk",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-chk-sv | 15 | null | transformers | 9,445 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-chk-sv
* source languages: chk
* target languages: sv
* OPUS readme: [chk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/chk-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-efi-de | cedf2694630c1ee2ea1d75dffead02c4dc49ef80 | 2021-09-09T21:33:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"efi",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-efi-de | 15 | null | transformers | 9,446 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-efi-de
* source languages: efi
* target languages: de
* OPUS readme: [efi-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/efi-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-bi | b3e9ed52697fffab06a733a23c37d843a3464976 | 2021-09-09T21:34:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"bi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-bi | 15 | null | transformers | 9,447 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-bi
* source languages: en
* target languages: bi
* OPUS readme: [en-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-eo | 20a8920034dfbb6b2e5909f5065a32d6b1b5990b | 2021-09-09T21:35:10.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-eo | 15 | null | transformers | 9,448 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-eo
* source languages: en
* target languages: eo
* OPUS readme: [en-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-eo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-mkh | 6115f953f19da66145fa3f8f54e02516e0272bec | 2021-01-18T08:12:39.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"vi",
"km",
"mkh",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-mkh | 15 | null | transformers | 9,449 | ---
language:
- en
- vi
- km
- mkh
tags:
- translation
license: apache-2.0
---
### eng-mkh
* source group: English
* target group: Mon-Khmer languages
* OPUS readme: [eng-mkh](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mkh/README.md)
* model: transformer
* source language(s): eng... |
Helsinki-NLP/opus-mt-en-tiv | 7365b6468e5560ea672006d5b06076b9353f7f08 | 2021-09-09T21:39:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"tiv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-tiv | 15 | null | transformers | 9,450 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-tiv
* source languages: en
* target languages: tiv
* OPUS readme: [en-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-tiv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-is | c5c5198f9f6adf74222b27f27395f18683cca091 | 2021-01-18T08:25:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"is",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-is | 15 | null | transformers | 9,451 | ---
language:
- es
- is
tags:
- translation
license: apache-2.0
---
### spa-isl
* source group: Spanish
* target group: Icelandic
* OPUS readme: [spa-isl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-isl/README.md)
* model: transformer-align
* source language(s): spa
* target langu... |
Helsinki-NLP/opus-mt-es-mfs | 951cb2605294fb1fcea04c6f1db797405ea64a4d | 2021-09-09T21:43:38.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"mfs",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-mfs | 15 | null | transformers | 9,452 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-mfs
* source languages: es
* target languages: mfs
* OPUS readme: [es-mfs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-mfs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-mt | 5c5e7195a17a805eb1371b3124c50b58fed0a7d0 | 2021-09-09T21:43:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"mt",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-mt | 15 | null | transformers | 9,453 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-mt
* source languages: es
* target languages: mt
* OPUS readme: [es-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-mt/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-pon | 959fa9d70c13cf7125e75cb5259b840f49ac7153 | 2021-09-09T21:44:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"pon",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-pon | 15 | null | transformers | 9,454 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-pon
* source languages: es
* target languages: pon
* OPUS readme: [es-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pon/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-prl | b827848e11171694a0673824ceb956120f711790 | 2021-09-09T21:44:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"prl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-prl | 15 | null | transformers | 9,455 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-prl
* source languages: es
* target languages: prl
* OPUS readme: [es-prl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-prl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-es-rw | ed856c7464b8bf9da5b6c630d3c2fdc44805b33b | 2021-09-09T21:44:31.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"rw",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-rw | 15 | null | transformers | 9,456 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-rw
* source languages: es
* target languages: rw
* OPUS readme: [es-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-rw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-tl | eb444bac2f8ed359035320beb28d65f0a77d4886 | 2021-01-18T08:28:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"tl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-tl | 15 | null | transformers | 9,457 | ---
language:
- es
- tl
tags:
- translation
license: apache-2.0
---
### spa-tgl
* source group: Spanish
* target group: Tagalog
* OPUS readme: [spa-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-tgl/README.md)
* model: transformer-align
* source language(s): spa
* target languag... |
Helsinki-NLP/opus-mt-es-tvl | dc0caf7004cf3005068fd8e1a3069a74bd32d904 | 2021-09-09T21:45:15.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"tvl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-tvl | 15 | null | transformers | 9,458 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-tvl
* source languages: es
* target languages: tvl
* OPUS readme: [es-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-tvl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fi-nl | c73058f4a1d704b0cd150b8bb2daaf3bcec7cc62 | 2021-09-09T21:49:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"nl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-nl | 15 | null | transformers | 9,459 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-nl
* source languages: fi
* target languages: nl
* OPUS readme: [fi-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-nl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fi-pon | a77e72b770a53dcfc98a7080aa71d49ae5f5291b | 2021-09-09T21:50:17.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"pon",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-pon | 15 | null | transformers | 9,460 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-pon
* source languages: fi
* target languages: pon
* OPUS readme: [fi-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-pon/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fi-tw | 233d33e2877c2a05e745c0d16fb1eaa39e0b0b19 | 2021-09-09T21:51:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"tw",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-tw | 15 | null | transformers | 9,461 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-tw
* source languages: fi
* target languages: tw
* OPUS readme: [fi-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-hu | 9c28a82b5b2c2ad7ceb7082d4996a39d4ea18839 | 2021-09-09T21:54:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"hu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-hu | 15 | null | transformers | 9,462 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-hu
* source languages: fr
* target languages: hu
* OPUS readme: [fr-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-gaa-de | 9841f10ed27c405ea99e3fc17d9b04ea901cc16d | 2021-09-09T21:58:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"gaa",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-gaa-de | 15 | null | transformers | 9,463 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gaa-de
* source languages: gaa
* target languages: de
* OPUS readme: [gaa-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-gaa-fi | 26934ba91ba7db634fbcc603d78e94ddc3d302f1 | 2021-09-09T21:58:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"gaa",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-gaa-fi | 15 | null | transformers | 9,464 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gaa-fi
* source languages: gaa
* target languages: fi
* OPUS readme: [gaa-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-he-fi | 4b31cd72be66646814d83bc37650d6c44f959a86 | 2021-09-09T22:00:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"he",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-he-fi | 15 | null | transformers | 9,465 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-he-fi
* source languages: he
* target languages: fi
* OPUS readme: [he-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/he-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-hr-es | f4ca116c634fa05e5bbe7bad0a65f6740a3b7d1c | 2021-09-09T22:10:14.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hr",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-hr-es | 15 | null | transformers | 9,466 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hr-es
* source languages: hr
* target languages: es
* OPUS readme: [hr-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hr-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-id-fi | b14365126d6c908803119e0596368048b54e1cd0 | 2021-09-09T22:11:18.000Z | [
"pytorch",
"marian",
"text2text-generation",
"id",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-id-fi | 15 | null | transformers | 9,467 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-id-fi
* source languages: id
* target languages: fi
* OPUS readme: [id-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-iso-en | 9f2814bcff0ed0eac0900523d9ea7af8a9c291a7 | 2021-09-09T22:12:24.000Z | [
"pytorch",
"marian",
"text2text-generation",
"iso",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-iso-en | 15 | null | transformers | 9,468 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-iso-en
* source languages: iso
* target languages: en
* OPUS readme: [iso-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/iso-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-lua-fi | 090f03999b05affad136c4419b14dd638cadf39d | 2021-09-10T13:56:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lua",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lua-fi | 15 | null | transformers | 9,469 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lua-fi
* source languages: lua
* target languages: fi
* OPUS readme: [lua-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sal-en | 0d8861d4c529b7055c3127a4d832a5b4c13c8131 | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sal",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sal-en | 15 | null | transformers | 9,470 | ---
language:
- sal
- en
tags:
- translation
license: apache-2.0
---
### sal-eng
* source group: Salishan languages
* target group: English
* OPUS readme: [sal-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sal-eng/README.md)
* model: transformer
* source language(s): shs_Latn
* tar... |
Helsinki-NLP/opus-mt-sl-es | b954a6f496ba57beeddcefaca4585c1dd13d5d80 | 2021-09-10T14:03:39.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sl",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sl-es | 15 | null | transformers | 9,471 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sl-es
* source languages: sl
* target languages: es
* OPUS readme: [sl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-zh-uk | 0b56f660a08577efe742068f467cc97d8c138bb0 | 2020-08-21T14:42:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"zh",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-zh-uk | 15 | null | transformers | 9,472 | ---
language:
- zh
- uk
tags:
- translation
license: apache-2.0
---
### zho-ukr
* source group: Chinese
* target group: Ukrainian
* OPUS readme: [zho-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-ukr/README.md)
* model: transformer-align
* source language(s): cmn cmn_Bopo cmn_H... |
Intel/bert-base-uncased-mnli-sparse-70-unstructured | f43011e5ac09d8ab1aae35dd16d343b958e74dac | 2021-05-24T17:47:03.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"transformers"
] | text-classification | false | Intel | null | Intel/bert-base-uncased-mnli-sparse-70-unstructured | 15 | null | transformers | 9,473 | ---
language: en
---
# Sparse BERT base model fine tuned to MNLI (uncased)
Fine tuned sparse BERT base to MNLI (GLUE Benchmark) task from [bert-base-uncased-sparse-70-unstructured](https://huggingface.co/Intel/bert-base-uncased-sparse-70-unstructured).
<br><br>
Note: This model requires `transformers==2.10.0`
## Eva... |
Irina/trans_cyoa_GPT3Medium | 286d7f6c9495a8d3a9a78b4d05e08a04ac4fc59f | 2021-11-14T16:58:45.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | Irina | null | Irina/trans_cyoa_GPT3Medium | 15 | null | transformers | 9,474 | Entry not found |
Itcast/bert-base-cnc | 775a1b4495ea1f36cc6abe9b0f5d819fc445aa22 | 2021-05-18T21:09:34.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Itcast | null | Itcast/bert-base-cnc | 15 | null | transformers | 9,475 | Entry not found |
JAlexis/PruebaBert | e4700db931182e3f15c035445754705fcf878437 | 2022-02-25T13:58:51.000Z | [
"pytorch",
"bert",
"question-answering",
"en",
"dataset:squad2",
"dataset:cord19",
"transformers",
"autotrain_compatible"
] | question-answering | false | JAlexis | null | JAlexis/PruebaBert | 15 | null | transformers | 9,476 | ---
language: en
tags:
- pytorch
- question-answering
datasets:
- squad2
- cord19
metrics:
- f1
widget:
- text: "How can I protect myself against covid-19?"
context: "Preventative measures consist of recommendations to wear a mask in public, maintain social distancing of at least six feet, wash hands regularly, and ... |
JonatanGk/roberta-base-ca-finetuned-cyberbullying-catalan | 7ad8e3da1280e25299b4f8137afb35a3a4b9e7cd | 2021-10-10T09:50:17.000Z | [
"pytorch",
"roberta",
"text-classification",
"ca",
"transformers",
"catalan"
] | text-classification | false | JonatanGk | null | JonatanGk/roberta-base-ca-finetuned-cyberbullying-catalan | 15 | 1 | transformers | 9,477 | ---
language: ca
tags:
- "catalan"
metrics:
- accuracy
widget:
- text: "Ets més petita que un barrufet!!"
- text: "Ets tan lletja que et donaven de menjar per sota la porta."
---
# roberta-base-ca-finetuned-cyberbullying-catalan
This model is a fine-tuned version of [BSC-TeMU/roberta-base-ca](https://huggingface.c... |
Lysa/subheading_generator_nl | 63b2ded0e36c0c1c0bce8f92012d97c47bafbb66 | 2021-06-11T21:15:39.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Lysa | null | Lysa/subheading_generator_nl | 15 | null | transformers | 9,478 | Entry not found |
MoritzLaurer/xtremedistil-l6-h256-mnli-fever-anli-ling-binary | 9fa230d1a8490cce78522f02ea154ad67f49ef70 | 2022-02-08T21:37:01.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:multi_nli",
"dataset:anli",
"dataset:fever",
"dataset:lingnli",
"arxiv:2104.07179",
"transformers",
"zero-shot-classification"
] | zero-shot-classification | false | MoritzLaurer | null | MoritzLaurer/xtremedistil-l6-h256-mnli-fever-anli-ling-binary | 15 | null | transformers | 9,479 | ---
language:
- en
tags:
- text-classification
- zero-shot-classification
metrics:
- accuracy
datasets:
- multi_nli
- anli
- fever
- lingnli
pipeline_tag: zero-shot-classification
---
# xtremedistil-l6-h256-mnli-fever-anli-ling-binary
## Model description
This model was trained on 782 357 hypothesis-premise pairs fro... |
NDugar/1epochv3 | 0d1323e84ae4a91f657975f83785f9afc66f2aa0 | 2021-11-30T20:05:36.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"en",
"arxiv:2006.03654",
"transformers",
"deberta-v3",
"deberta-v2`",
"deberta-mnli",
"license:mit",
"zero-shot-classification"
] | zero-shot-classification | false | NDugar | null | NDugar/1epochv3 | 15 | null | transformers | 9,480 | ---
language: en
tags:
- deberta-v3
- deberta-v2`
- deberta-mnli
tasks: mnli
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
pipeline_tag: zero-shot-classification
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves the B... |
NYTK/summarization-nol-bart-hungarian | 7efa234c7d823f5fb1a2779cb2c642994717589c | 2022-02-14T13:27:53.000Z | [
"pytorch",
"bart",
"text2text-generation",
"hu",
"transformers",
"summarization",
"license:gpl",
"autotrain_compatible"
] | summarization | false | NYTK | null | NYTK/summarization-nol-bart-hungarian | 15 | null | transformers | 9,481 | ---
language:
- hu
tags:
- summarization
license: gpl
metrics:
- rouge
widget:
- text: "A Tisza-parti város állatkertjében régóta tartanak szurikátákat ( Suricata suricatta ) , de tavaly tavaszig nem sikerült szaporítani őket , annak ellenére , hogy tágas ház és kifutó épült számukra - közölte Veprik Róbert igazgat... |
NbAiLab/nb-roberta-base | 32d3881e0f3bc87f28330d66833a9e5915e8abce | 2021-12-01T07:42:23.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"no",
"transformers",
"norwegian",
"license:cc-by-4.0",
"autotrain_compatible"
] | fill-mask | false | NbAiLab | null | NbAiLab/nb-roberta-base | 15 | null | transformers | 9,482 | ---
language: no
license: cc-by-4.0
tags:
- norwegian
- roberta
pipeline_tag: fill-mask
widget:
- text: På biblioteket kan du <mask> en bok.
- text: Dette er et <mask> eksempel.
- text: Av og til kan en språkmodell gi et <mask> resultat.
- text: Som ansat får du <mask> for at bidrage til borgernes adgang til dansk kul... |
OnsElleuch/logisgenerator | 097814d1541082ca59bb2fc6af093859597df233 | 2021-08-11T16:29:29.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:WebNLG",
"dataset:Dart",
"transformers",
"keytotext",
"k2t",
"Keywords to Sentences",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | OnsElleuch | null | OnsElleuch/logisgenerator | 15 | null | transformers | 9,483 | ---
language: "en"
thumbnail: "Keywords to Sentences"
tags:
- keytotext
- k2t
- Keywords to Sentences
license: "MIT"
datasets:
- WebNLG
- Dart
metrics:
- NLG
model-index:
- name: logisgenerator
---
#keytotext
[](https://py... |
Rolv-Arild/xls-r-300m-npsc-4 | 00a6ac8768ca33d9a1956ebccbe0aabedf3a161a | 2022-02-04T16:36:33.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"NbAiLab/NPSC",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Rolv-Arild | null | Rolv-Arild/xls-r-300m-npsc-4 | 15 | null | transformers | 9,484 | ---
license: apache-2.0
tags:
- automatic-speech-recognition
- NbAiLab/NPSC
- generated_from_trainer
model-index:
- name: ''
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 co... |
SEBIS/code_trans_t5_small_source_code_summarization_python | 094368e02efa964e165d7d6391de61b2230acd7e | 2021-06-23T10:22:03.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_small_source_code_summarization_python | 15 | null | transformers | 9,485 | ---
tags:
- summarization
widget:
- text: '''with open ( CODE_STRING , CODE_STRING ) as in_file : buf = in_file . readlines ( ) with open ( CODE_STRING , CODE_STRING ) as out_file : for line in buf : if line == " ; Include this text " : line = line + " Include below " out_file . w... |
Sam2021/xlm_rober_base_finetuned_squd_v1 | c90b0ab25f74efdd59c583c055a6f9815ee56ff4 | 2021-08-15T16:06:19.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | Sam2021 | null | Sam2021/xlm_rober_base_finetuned_squd_v1 | 15 | null | transformers | 9,486 | Entry not found |
SarahhhUwU/DialoGPT-small-ally | 04f52e21b9562bbdc68f1c43e10a4731c8a94f71 | 2021-08-25T08:36:23.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | SarahhhUwU | null | SarahhhUwU/DialoGPT-small-ally | 15 | null | transformers | 9,487 | ---
tags:
- conversational
---
#Ally DialoGPT Model |
UBC-NLP/IndT5 | c0db442ef5b0f8d0ef5faf3a6584f91d019ae413 | 2021-08-30T22:03:01.000Z | [
"pytorch",
"t5",
"transformers"
] | null | false | UBC-NLP | null | UBC-NLP/IndT5 | 15 | null | transformers | 9,488 | # IndT5: A Text-to-Text Transformer for 10 Indigenous Languages
<img src="https://huggingface.co/UBC-NLP/IndT5/raw/main/IND_langs_large7.png" alt="drawing" width="45%" height="45%" align="right"/>
In this work, we introduce IndT5, the first Transformer language model for Indigenous languages. To train ... |
Violeta/ArmBERTa_Model | 8db5dcefa79cd31a41626d399361c63606c7cb3a | 2021-05-20T12:31:26.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | Violeta | null | Violeta/ArmBERTa_Model | 15 | null | transformers | 9,489 | Entry not found |
Yanjie/message-intent | 86855f912587f2aca42207022aba888bd207a222 | 2022-03-21T18:08:08.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | Yanjie | null | Yanjie/message-intent | 15 | 1 | transformers | 9,490 | This is the concierge intent model. Fined tuned on DistilBert uncased model. |
ZhangCheng/T5v1.1-Base-Fine-Tuned-for-Question-Generation | 908433206be097de9d1303b23679c5c3eff296cf | 2021-12-14T17:48:57.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:squad",
"transformers",
"Question Generation",
"autotrain_compatible"
] | text2text-generation | false | ZhangCheng | null | ZhangCheng/T5v1.1-Base-Fine-Tuned-for-Question-Generation | 15 | 1 | transformers | 9,491 | ---
language: en
datasets:
- squad
tags:
- Question Generation
widget:
- text: "<answer> T5v1.1 <context> Cheng fine-tuned T5v1.1 on SQuAD for question generation."
example_title: "Example 1"
- text: "<answer> SQuAD <context> Cheng fine-tuned T5v1.1 on SQuAD dataset for question generation."
example_title: "Exa... |
aditi2222/automatic_title_generation | 07b9632d71a7d6d9dcb8a00e9eac478db96c6116 | 2022-01-23T18:01:45.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | aditi2222 | null | aditi2222/automatic_title_generation | 15 | null | transformers | 9,492 | Entry not found |
airKlizz/distilbart-12-3-multi-combine-wiki-news | fc2460258985430c8a754644b0a8b81ebcee7eb7 | 2020-08-26T10:25:17.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | airKlizz | null | airKlizz/distilbart-12-3-multi-combine-wiki-news | 15 | null | transformers | 9,493 | Entry not found |
airKlizz/gbert-base-germeval21-toxic | 8fb266deb431a8fedb9845f6f249bb4f5cfafcb9 | 2021-07-12T17:45:46.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | airKlizz | null | airKlizz/gbert-base-germeval21-toxic | 15 | null | transformers | 9,494 | Entry not found |
akdeniz27/mbert-base-albanian-cased-ner | 9ac7ea70630ba1190fd53bf34cf3572cb692364a | 2021-10-20T10:03:06.000Z | [
"pytorch",
"bert",
"token-classification",
"sq",
"transformers",
"autotrain_compatible"
] | token-classification | false | akdeniz27 | null | akdeniz27/mbert-base-albanian-cased-ner | 15 | 1 | transformers | 9,495 | ---
language: sq
widget:
- text: "Varianti AY.4.2 është më i lehtë për t'u transmetuar, thotë Francois Balu, drejtor i Institutit të Gjenetikës në Londër."
---
# Albanian Named Entity Recognition (NER) Model
This model is the fine-tuned model of "bert-base-multilingual-cased"
using the famous WikiANN dataset presented... |
allenai/unifiedqa-v2-t5-small-1363200 | e8b5669a71c0f8fb7560e9a967c37470d204bb4c | 2022-02-21T23:12:00.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | allenai | null | allenai/unifiedqa-v2-t5-small-1363200 | 15 | null | transformers | 9,496 | # Further details: https://github.com/allenai/unifiedqa |
andi611/distilbert-base-uncased-ner-agnews | 2832236d07511bab77ecc7ab3662bb7c046efbc3 | 2021-08-02T01:25:13.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:ag_news",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | false | andi611 | null | andi611/distilbert-base-uncased-ner-agnews | 15 | 1 | transformers | 9,497 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- ag_news
metrics:
- accuracy
model_index:
- name: distilbert-base-uncased-agnews
results:
- dataset:
name: ag_news
type: ag_news
args: default
metric:
name: Accuracy
type: accuracy
value: 0.94736... |
baykenney/bert-large-gpt2detector-topk40 | 90c370d72632ab59769908a16adbcf021ea00fe8 | 2021-05-19T12:19:13.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | baykenney | null | baykenney/bert-large-gpt2detector-topk40 | 15 | null | transformers | 9,498 | Entry not found |
bergum/xtremedistil-l6-h384-emotion | f7116c84b9db139008882ed1620eaf0ff520e6a8 | 2022-07-14T08:30:26.000Z | [
"pytorch",
"bert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | bergum | null | bergum/xtremedistil-l6-h384-emotion | 15 | null | transformers | 9,499 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: xtremedistil-l6-h384-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... |
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