modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
values | private bool 1
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values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
efederici/it5-efficient-small-lfqa | 9b34753efd25e1e849f0ec9b900aeb5210c14d62 | 2022-05-03T13:33:47.000Z | [
"pytorch",
"t5",
"text2text-generation",
"it",
"dataset:custom",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | efederici | null | efederici/it5-efficient-small-lfqa | 25 | null | transformers | 7,700 | ---
license: apache-2.0
language:
- it
datasets:
- custom
---
# it5-efficient-small-lfqa
It is a T5 ([IT5](https://huggingface.co/stefan-it/it5-efficient-small-el32)) efficient small model trained on a lfqa dataset.
<p align="center">
<img src="https://www.marcorossiartecontemporanea.net/wp-content/uploads/2... |
leonweber/semantic_relations | f75b57098db886096604641b1892c54728c44418 | 2022-05-14T12:55:31.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | leonweber | null | leonweber/semantic_relations | 25 | null | transformers | 7,701 | Entry not found |
danlupu/sentiment-analysis | 69eaa529b7ffb74ed958ef53551765e7b8a1168c | 2022-05-17T08:55:21.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | danlupu | null | danlupu/sentiment-analysis | 25 | null | transformers | 7,702 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: sentiment-analysis
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metrics:
- name: Acc... |
thunninoi/wav2vec2-japanese-hiragana-vtuber | aeda6196fa45f4a55827043a80087b158b62059d | 2022-06-02T04:31:41.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | thunninoi | null | thunninoi/wav2vec2-japanese-hiragana-vtuber | 25 | null | transformers | 7,703 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: checkpoints
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. -->
# checkpoints
This model... |
cardiffnlp/tweet-topic-19-single | 1576eb36befe9b52b6709159b51608b68f17e954 | 2022-06-09T10:33:26.000Z | [
"pytorch",
"tf",
"roberta",
"text-classification",
"arxiv:2202.03829",
"transformers"
] | text-classification | false | cardiffnlp | null | cardiffnlp/tweet-topic-19-single | 25 | null | transformers | 7,704 | # tweet-topic-19-single
This is a roBERTa-base model trained on ~90m tweets until the end of 2019 (see [here](https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m)), and finetuned for single-label topic classification on a corpus of 6,997 tweets.
The original roBERTa-base model can be found [here](https://... |
KoichiYasuoka/deberta-large-japanese-unidic-luw-upos | 8be2d2238eaf4c162e9488779db68d349a9521cf | 2022-06-26T14:56:51.000Z | [
"pytorch",
"deberta-v2",
"token-classification",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"pos",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/deberta-large-japanese-unidic-luw-upos | 25 | null | transformers | 7,705 | ---
language:
- "ja"
tags:
- "japanese"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "国境の長いトンネルを抜けると雪国であった。"
---
# deberta-large-japanese-unidic-luw-upos
## Model Description
This is a DeBERTa... |
gauravnuti/agro_ner | bf1c59dc0735cc9ce2558faab6fcd8e378a02ba8 | 2022-06-20T12:56:22.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | gauravnuti | null | gauravnuti/agro_ner | 25 | null | transformers | 7,706 | Entry not found |
Siddish/autotrain-yes-or-no-classifier-on-circa-1009033469 | 036376acd226d15c3135cdde0c738992fd036066 | 2022-06-20T16:21:09.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:Siddish/autotrain-data-yes-or-no-classifier-on-circa",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | Siddish | null | Siddish/autotrain-yes-or-no-classifier-on-circa-1009033469 | 25 | null | transformers | 7,707 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Siddish/autotrain-data-yes-or-no-classifier-on-circa
co2_eq_emissions: 0.1287915253247826
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1009033469
- CO2 Emissions (in grams): 0.1287915253247... |
twieland/MIX3_ja-en_helsinki | a57a9dcca99a2ce6bcdfaae4b855e9ba734c752d | 2022-06-28T11:46:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | twieland | null | twieland/MIX3_ja-en_helsinki | 25 | null | transformers | 7,708 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: MIX3_ja-en_helsinki
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. -->
# MIX3_ja-en_hels... |
JamesStratford/Pidrow-bot-DialoGPT-Small | a15a37a6c2e665ba4d71a8489cc67350f7ed58b2 | 2022-06-22T10:47:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | JamesStratford | null | JamesStratford/Pidrow-bot-DialoGPT-Small | 25 | null | transformers | 7,709 | ---
tags:
- conversational
---
# Pidrow bot |
dayyass/qaner-conll-bert-base-uncased | 88a17463e8140fab4b14a6f6dba57d6599e293ee | 2022-06-22T14:06:56.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | dayyass | null | dayyass/qaner-conll-bert-base-uncased | 25 | 1 | transformers | 7,710 | Entry not found |
Aalaa/opt-125m-custom-data | 2a7dd73190663f91a6754a49c5ebe37c8a8290e3 | 2022-06-29T09:32:01.000Z | [
"pytorch",
"tensorboard",
"opt",
"text-generation",
"transformers",
"generated_from_trainer",
"license:other",
"model-index"
] | text-generation | false | Aalaa | null | Aalaa/opt-125m-custom-data | 25 | null | transformers | 7,711 | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: opt-125m-custom-data
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. -->
# opt-125m-custom-dat... |
projecte-aina/roberta-base-ca-v2-cased-ner | 7ace853c8d4ba530bd52e104296c3768930e22aa | 2022-07-25T06:52:13.000Z | [
"pytorch",
"roberta",
"token-classification",
"ca",
"dataset:projecte-aina/ancora-ca-ner",
"arxiv:1907.11692",
"transformers",
"catalan",
"named entity recognition",
"ner",
"CaText",
"Catalan Textual Corpus",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | projecte-aina | null | projecte-aina/roberta-base-ca-v2-cased-ner | 25 | null | transformers | 7,712 | ---
language:
- ca
license: apache-2.0
tags:
- "catalan"
- "named entity recognition"
- "ner"
- "CaText"
- "Catalan Textual Corpus"
datasets:
- "projecte-aina/ancora-ca-ner"
metrics:
- f1
model-index:
- name: roberta-base-ca-v2-cased-ner
results:
- task:
type: token-classification
dataset:... |
projecte-aina/roberta-base-ca-v2-cased-sts | 9a9b37ef377ab5947d5c4fd890dfabba0302cec1 | 2022-07-25T06:51:14.000Z | [
"pytorch",
"roberta",
"text-classification",
"ca",
"dataset:projecte-aina/sts-ca",
"arxiv:1907.11692",
"transformers",
"catalan",
"semantic textual similarity",
"sts-ca",
"CaText",
"Catalan Textual Corpus",
"license:apache-2.0",
"model-index"
] | text-classification | false | projecte-aina | null | projecte-aina/roberta-base-ca-v2-cased-sts | 25 | null | transformers | 7,713 | ---
pipeline_tag: text-classification
language:
- ca
license: apache-2.0
tags:
- "catalan"
- "semantic textual similarity"
- "sts-ca"
- "CaText"
- "Catalan Textual Corpus"
datasets:
- "projecte-aina/sts-ca"
metrics:
- "combined_score"
model-index:
- name: roberta-base-ca-v2-cased-sts
results:
- task:... |
amanbawa96/bert-base-uncase-contracts | 53d4cc39541b9b3da626199718bd8c52a45d4f5d | 2022-06-30T23:05:13.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | amanbawa96 | null | amanbawa96/bert-base-uncase-contracts | 25 | null | transformers | 7,714 | Bert Base Uncased Contract model trained on CUAD Dataset
The Dataset can be downloaded from [Here](https://www.atticusprojectai.org/cuad). |
arize-ai/XLM-RoBERTa-xtreme-en | cf0f0e64d4c85fba8c66f2f1702efef628d29e7b | 2022-07-01T01:48:00.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme_en",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | arize-ai | null | arize-ai/XLM-RoBERTa-xtreme-en | 25 | null | transformers | 7,715 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme_en
metrics:
- accuracy
- f1
widget:
- text: "My name is Julia, I study at Imperial College, in London"
example_title: "Example 1"
- text: "My name is Sarah and I live in Paris"
example_title: "Example 2"
- text: "My name is Clara and I live in Berke... |
emilylearning/cond_ft_subreddit_on_reddit__prcnt_100__test_run_False__roberta-base | c8b743327d731a80dbd7677951e01e4beb58a643 | 2022-07-01T10:20:47.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/cond_ft_subreddit_on_reddit__prcnt_100__test_run_False__roberta-base | 25 | null | transformers | 7,716 | Entry not found |
djagatiya/ner-albert-base-v2-ontonotesv5-englishv4 | 654ec67cf670a60afef166fcbcc9e91157f813d1 | 2022-07-03T11:28:08.000Z | [
"pytorch",
"albert",
"token-classification",
"dataset:djagatiya/ner-ontonotes-v5-eng-v4",
"transformers",
"autotrain_compatible"
] | token-classification | false | djagatiya | null | djagatiya/ner-albert-base-v2-ontonotesv5-englishv4 | 25 | null | transformers | 7,717 | ---
tags:
- token-classification
datasets:
- djagatiya/ner-ontonotes-v5-eng-v4
widget:
- text: "On September 1st George won 1 dollar while watching Game of Thrones."
---
# (NER) ALBERT-base-v2 : conll2012_ontonotesv5-english-v4
This `ALBERT-base-v2` NER model was finetuned on `conll2012_ontonotesv5` version `english... |
ccarvajal/beto-emoji | c8ed44514746fbb40d902faf20167173f0be2f47 | 2022-07-08T03:35:39.000Z | [
"pytorch",
"bert",
"text-classification",
"es",
"transformers"
] | text-classification | false | ccarvajal | null | ccarvajal/beto-emoji | 25 | null | transformers | 7,718 | ---
language:
- es
---
# beto-emoji
Fine-tunning [BETO](https://github.com/dccuchile/beto) for emoji-prediction.
## Repository
Details with training and a use example are shown in [github.com/camilocarvajalreyes/beto-emoji](https://github.com/camilocarvajalreyes/beto-emoji). A deeper analysis of this and other mod... |
ryo0634/luke-base-full-20201201 | 81132447ab2e71523f7d3424f5ca4a081de99a64 | 2022-07-03T16:09:24.000Z | [
"pytorch",
"luke",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ryo0634 | null | ryo0634/luke-base-full-20201201 | 25 | null | transformers | 7,719 | Entry not found |
ClassCat/roberta-base-french | 5bca559ed63b8ee656a4b2d01c18b5c730997bb7 | 2022-07-08T07:34:58.000Z | [
"pytorch",
"roberta",
"fill-mask",
"fr",
"dataset:wikipedia",
"dataset:cc100",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | ClassCat | null | ClassCat/roberta-base-french | 25 | 1 | transformers | 7,720 | ---
language: fr
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
widget:
- text: "Je vais à la <mask>."
- text: "J'aime le <mask>."
- text: "J'ai ouvert la <mask>."
- text: "Je m'appelle <mask>."
- text: "J'ai beaucoup d'<mask>."
---
## RoBERTa French base model (Uncased)
### Prerequisites
transformers==4.19.2
... |
KevinChoi/dpr-context_encoder-klue-roberta-base | 236cd1829873679c9f9ac88cfcc79ac16b2c7f45 | 2022-07-06T03:55:31.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | KevinChoi | null | KevinChoi/dpr-context_encoder-klue-roberta-base | 25 | null | transformers | 7,721 | Entry not found |
mikesong724/deberta-wiki-2010 | 2e299beaf61b91e08c79e078380a2395d5526675 | 2022-07-07T03:29:19.000Z | [
"pytorch",
"deberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | mikesong724 | null | mikesong724/deberta-wiki-2010 | 25 | null | transformers | 7,722 | DeBERTa trained from scratch
continued training from https://huggingface.co/mikesong724/deberta-wiki-2006
Source data: https://dumps.wikimedia.org/archive/2010/
Tools used: https://github.com/mikesong724/Point-in-Time-Language-Model
2010 wiki archive 6.1 GB trained 18 epochs = 108GB + 2006 (65GB)
GLUE ... |
bhadresh-savani/bertweet-base-finetuned-emotion | 1662c8787098816246419044f8a2b12a1735aa83 | 2022-07-14T07:00:52.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | bhadresh-savani | null | bhadresh-savani/bertweet-base-finetuned-emotion | 25 | null | transformers | 7,723 | ---
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... |
shaneweisz/DialoGPT-finetuned-gab-multiCONAN | 174212e1a82ecbc11a8fc50230ce1b25c6226cff | 2022-07-12T14:36:10.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | shaneweisz | null | shaneweisz/DialoGPT-finetuned-gab-multiCONAN | 25 | null | transformers | 7,724 | Entry not found |
Hamzaaa/xlsr-wav2vec-speech-emotion-recognition-finetuned-Savee | a3356a0307bbe29e90e13d61d979c121eb83ab48 | 2022-07-14T08:52:57.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"transformers"
] | audio-classification | false | Hamzaaa | null | Hamzaaa/xlsr-wav2vec-speech-emotion-recognition-finetuned-Savee | 25 | null | transformers | 7,725 | Entry not found |
Team-PIXEL/pixel-base-finetuned-squadv1 | f517f215cbbc8849db9c4bc8cc4966855468eb71 | 2022-07-14T13:05:00.000Z | [
"pytorch",
"pixel",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Team-PIXEL | null | Team-PIXEL/pixel-base-finetuned-squadv1 | 25 | null | transformers | 7,726 | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: pixel-base-finetuned-squadv1
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. -->
# pixel-ba... |
haisona3/longformer-base-4096-finetuned-1-epoch-512 | 6151c9818e482287ad47e7993183f13624ba8ead | 2022-07-18T01:01:48.000Z | [
"pytorch",
"tensorboard",
"longformer",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | haisona3 | null | haisona3/longformer-base-4096-finetuned-1-epoch-512 | 25 | null | transformers | 7,727 | ---
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: longformer-base-4096-finetuned-squad2-finetuned-squad2
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 ... |
pysentimiento/robertuito-pos | d75b5813e91e8c19c07d64f08b69d60099e95328 | 2022-07-21T11:22:45.000Z | [
"pytorch",
"roberta",
"token-classification",
"es",
"arxiv:2106.09462",
"arxiv:2111.09453",
"transformers",
"twitter",
"pos-tagging",
"autotrain_compatible"
] | token-classification | false | pysentimiento | null | pysentimiento/robertuito-pos | 25 | null | transformers | 7,728 | ---
language:
- es
tags:
- twitter
- pos-tagging
---
# POS Tagging model for Spanish/English
## robertuito-pos
Repository: [https://github.com/pysentimiento/pysentimiento/](https://github.com/finiteautomata/pysentimiento/)
Model trained with the Spanish/English split of the [LinCE NER corpus](https://ritual... |
google/ddpm-cat-256 | 34e20c9840f5865b26b3cd335f6a1bee4bd5f29b | 2022-07-21T15:00:17.000Z | [
"diffusers",
"arxiv:2006.11239",
"pytorch",
"unconditional-image-generation",
"license:apache-2.0"
] | unconditional-image-generation | false | google | null | google/ddpm-cat-256 | 25 | null | diffusers | 7,729 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Denoising Diffusion Probabilistic Models (DDPM)
**Paper**: [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)
**Authors**: Jonathan Ho, Ajay Jain, Pieter Abbeel
**Abstract**:
*We present high qualit... |
51la5/QMSUM-keyphrase-gen | 1003893f7c9c2c784bc1e908d3deafc6d9d5b657 | 2022-07-22T10:08:10.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | 51la5 | null | 51la5/QMSUM-keyphrase-gen | 25 | null | transformers | 7,730 | Entry not found |
oliverguhr/wav2vec2-base-german-cv9 | 62829c379e83f02093fe998686c898bfcae2df98 | 2022-07-25T09:34:21.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:mozilla-foundation/common_voice_9_0",
"transformers",
"mozilla-foundation/common_voice_9_0",
"generated_from_trainer",
"license:mit",
"model-index"
] | automatic-speech-recognition | false | oliverguhr | null | oliverguhr/wav2vec2-base-german-cv9 | 25 | null | transformers | 7,731 | ---
language:
- de
license: mit
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_9_0
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_9_0
model-index:
- name: wav2vec2-base-german-cv9
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-... |
ai4bharat/IndicBERTv2-alpha-TyDiQA | a0880f65a2c3d24240046f4b84257bb600c7443f | 2022-07-27T11:22:47.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | ai4bharat | null | ai4bharat/IndicBERTv2-alpha-TyDiQA | 25 | null | transformers | 7,732 | Entry not found |
spicard/small-10 | 2fddb9184d8cd2312da25ce20e30b3b1439d65ba | 2022-07-26T16:40:18.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | spicard | null | spicard/small-10 | 25 | null | transformers | 7,733 | Entry not found |
AbidHasan95/movieHunt2 | b6fe88e4e4494fac296d48005d56ef4ba7063188 | 2022-02-10T19:57:57.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | AbidHasan95 | null | AbidHasan95/movieHunt2 | 24 | null | transformers | 7,734 | Entry not found |
BigSalmon/GPT2HardArticleEasyArticle | dab38cda75421cfdccd8a21d14ec533d6b39e322 | 2021-05-21T09:31:52.000Z | [
"pytorch",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/GPT2HardArticleEasyArticle | 24 | null | transformers | 7,735 | Entry not found |
Ching/negation_detector | b45f4e2e4ec707564027da0861a86c4d9855ef05 | 2021-10-18T10:32:43.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | Ching | null | Ching/negation_detector | 24 | null | transformers | 7,736 | This question answering model was fine tuned to detect negation expressions
How to use:
question: negation
context: That is not safe!
Answer: not
question: negation
context: Weren't we going to go to the moon?
Answer: Weren't
|
ChristopherA08/IndoELECTRA | ccebcb76014a75179ba37840782832a72004aa8f | 2021-02-04T06:23:59.000Z | [
"pytorch",
"electra",
"pretraining",
"id",
"dataset:oscar",
"transformers"
] | null | false | ChristopherA08 | null | ChristopherA08/IndoELECTRA | 24 | null | transformers | 7,737 | ---
language: id
datasets:
- oscar
---
# IndoBERT (Indonesian BERT Model)
## Model description
ELECTRA is a new method for self-supervised language representation learning. This repository contains the pre-trained Electra Base model (tensorflow 1.15.0) trained in a Large Indonesian corpus (~16GB of raw text | ~2B indo... |
DingleyMaillotUrgell/homer-bot | bbd1433f89817e468ccea770cb9dadd9a535e280 | 2022-03-24T21:13:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"conversational"
] | conversational | false | DingleyMaillotUrgell | null | DingleyMaillotUrgell/homer-bot | 24 | 0 | transformers | 7,738 | ---
tags:
- conversational
language:
- en
---
# HomerBot: A conversational chatbot imitating Homer Simpson
This model is a fine-tuned [DialoGPT](https://huggingface.co/microsoft/DialoGPT-medium) (medium version) on Simpsons [scripts](https://www.kaggle.com/datasets/pierremegret/dialogue-lines-of-the-simpsons).
More ... |
EthanChen0418/few-shot-model-five-classes | da60c05fb3328e9a41275b31db9fe73f45d1523c | 2021-08-04T13:04:58.000Z | [
"pytorch",
"bart",
"text-classification",
"transformers"
] | text-classification | false | EthanChen0418 | null | EthanChen0418/few-shot-model-five-classes | 24 | null | transformers | 7,739 | Entry not found |
Ghana-NLP/distilabena-base-akuapem-twi-cased | f1d586ce2848b67894bbcabf7fce4b63825103c2 | 2020-10-22T06:04:27.000Z | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Ghana-NLP | null | Ghana-NLP/distilabena-base-akuapem-twi-cased | 24 | null | transformers | 7,740 | Entry not found |
Harveenchadha/indictrans | 637f125f737760febd79d096cb47393e175ebd5c | 2021-12-17T18:10:03.000Z | [
"pytorch",
"m2m_100",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Harveenchadha | null | Harveenchadha/indictrans | 24 | null | transformers | 7,741 | **Work in progress** |
Helsinki-NLP/opus-mt-alv-en | db2e7d8fa1edda0c395e03b813b45d91f6144d5b | 2021-01-18T07:46:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sn",
"rw",
"wo",
"ig",
"sg",
"ee",
"zu",
"lg",
"ts",
"ln",
"ny",
"yo",
"rn",
"xh",
"alv",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-alv-en | 24 | null | transformers | 7,742 | ---
language:
- sn
- rw
- wo
- ig
- sg
- ee
- zu
- lg
- ts
- ln
- ny
- yo
- rn
- xh
- alv
- en
tags:
- translation
license: apache-2.0
---
### alv-eng
* source group: Atlantic-Congo languages
* target group: English
* OPUS readme: [alv-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/al... |
Helsinki-NLP/opus-mt-cel-en | 5de5d6405a061244be33449468458a8af5343934 | 2021-01-18T07:54:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"gd",
"ga",
"br",
"kw",
"gv",
"cy",
"cel",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-cel-en | 24 | null | transformers | 7,743 | ---
language:
- gd
- ga
- br
- kw
- gv
- cy
- cel
- en
tags:
- translation
license: apache-2.0
---
### cel-eng
* source group: Celtic languages
* target group: English
* OPUS readme: [cel-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cel-eng/README.md)
* model: transformer
* source... |
Helsinki-NLP/opus-mt-en-gl | b72cd3b6bef693f9bf4a024e1db18b88d7a4f9d5 | 2021-09-09T21:35:35.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"gl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-gl | 24 | null | transformers | 7,744 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-gl
* source languages: en
* target languages: gl
* OPUS readme: [en-gl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-lg | a0f5fff204854b2832969499a61ee05164cbfa2c | 2021-09-09T21:36:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"lg",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-lg | 24 | 1 | transformers | 7,745 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-lg
* source languages: en
* target languages: lg
* OPUS readme: [en-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-lg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-el | 62475171998f80c7e466f33e0321650dd9aa7438 | 2021-09-09T21:42:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"el",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-el | 24 | null | transformers | 7,746 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-el
* source languages: es
* target languages: el
* OPUS readme: [es-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-el/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-hi-ur | 30f8d77a8003744072305a44e2e6d07aa3ba11e4 | 2020-08-21T14:42:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hi",
"ur",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-hi-ur | 24 | null | transformers | 7,747 | ---
language:
- hi
- ur
tags:
- translation
license: apache-2.0
---
### hin-urd
* source group: Hindi
* target group: Urdu
* OPUS readme: [hin-urd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hin-urd/README.md)
* model: transformer-align
* source language(s): hin
* target language(s):... |
Helsinki-NLP/opus-mt-mfe-en | 0df7b162d732a66544619408f94c9ca1e4b1d7bf | 2021-09-10T13:57:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"mfe",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-mfe-en | 24 | null | transformers | 7,748 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mfe-en
* source languages: mfe
* target languages: en
* OPUS readme: [mfe-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mfe-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
KBLab/bert-base-swedish-cased-neriob | e9faae17dbe01f726df3fb2e03cb45a74909a7ac | 2021-05-18T21:20:00.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | KBLab | null | KBLab/bert-base-swedish-cased-neriob | 24 | null | transformers | 7,749 | Entry not found |
LegolasTheElf/Wav2Vec2_XLSR_Bengali_1b | 825776a02eb76a560e28bb2ddd4d0b545172f997 | 2022-01-27T02:23:29.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | LegolasTheElf | null | LegolasTheElf/Wav2Vec2_XLSR_Bengali_1b | 24 | null | transformers | 7,750 | Entry not found |
Luciano/bertimbau-base-lener_br | 20c96be10d975181d1fce2e91a321a559e0eadc5 | 2022-06-28T12:01:00.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"pt",
"dataset:lener_br",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | Luciano | null | Luciano/bertimbau-base-lener_br | 24 | 2 | transformers | 7,751 | ---
language:
- pt
license: mit
tags:
- generated_from_trainer
datasets:
- lener_br
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: bertimbau-base-lener_br
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: lener_br
type: lener_br
... |
Luciano/gpt2-small-portuguese-finetuned-tcu-acordaos | 204addc7ee9d526586292c781bde10aeed33614b | 2022-02-18T10:22:01.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"pt",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | Luciano | null | Luciano/gpt2-small-portuguese-finetuned-tcu-acordaos | 24 | null | transformers | 7,752 | ---
language:
- pt
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-small-portuguese-finetuned-tcu-acordaos
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... |
RecordedFuture/Swedish-NER | 436f9d59ada004b5bbae5f351005c4fd9bd43bbb | 2021-05-24T12:03:54.000Z | [
"pytorch",
"bert",
"token-classification",
"sv",
"transformers",
"license:mit",
"autotrain_compatible"
] | token-classification | false | RecordedFuture | null | RecordedFuture/Swedish-NER | 24 | null | transformers | 7,753 | ---
language: sv
license: mit
---
## Swedish BERT models for sentiment analysis, Sentiment targets.
[Recorded Future](https://www.recordedfuture.com/) together with [AI Sweden](https://www.ai.se/en) releases a Named Entity Recognition(NER) model for entety detection in Swedish. The model is based on [KB/bert-base-swe... |
StivenLancheros/bert-base-spanish-wwm-cased-finetuned-ner-false | 385bf0087febad5d0c408fa3897b2d6a4a1e64bc | 2021-11-23T10:27:20.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2002",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | StivenLancheros | null | StivenLancheros/bert-base-spanish-wwm-cased-finetuned-ner-false | 24 | null | transformers | 7,754 | ---
tags:
- generated_from_trainer
datasets:
- conll2002
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-spanish-wwm-cased-finetuned-ner-false
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2002
type: conll2002
... |
TODBERT/TOD-BERT-MLM-V1 | 34178a6c57ace7efbf9423aae288804eb163f326 | 2021-05-19T11:32:32.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"transformers"
] | null | false | TODBERT | null | TODBERT/TOD-BERT-MLM-V1 | 24 | null | transformers | 7,755 | Entry not found |
Tymoteusz/distilbert-base-uncased-kaggle-readability | a3629dbe7697aaf4c1667b45af001a9d3ce7098f | 2021-08-10T21:09:07.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | Tymoteusz | null | Tymoteusz/distilbert-base-uncased-kaggle-readability | 24 | 1 | transformers | 7,756 | Entry not found |
af-ai-center/bert-large-swedish-uncased | 0b4d7e18946709ef6303d597fd6020457ae42701 | 2021-05-18T23:14:05.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | af-ai-center | null | af-ai-center/bert-large-swedish-uncased | 24 | null | transformers | 7,757 | Entry not found |
airKlizz/mt5-base-wikinewssum-english-1000 | 965abb6d7793e41d2987461f8c0e9c8dfbe4bb7e | 2021-12-31T12:29:07.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | airKlizz | null | airKlizz/mt5-base-wikinewssum-english-1000 | 24 | 1 | transformers | 7,758 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-wikinewssum-english-1000
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... |
alaggung/bart-rl | 09ef92f05c2fa9e0e9fb9ea7805947053e8aeb11 | 2022-01-13T17:18:17.000Z | [
"pytorch",
"tf",
"bart",
"text2text-generation",
"ko",
"transformers",
"summarization",
"autotrain_compatible"
] | summarization | false | alaggung | null | alaggung/bart-rl | 24 | null | transformers | 7,759 | ---
language:
- ko
tags:
- summarization
widget:
- text: "[BOS]밥 ㄱ?[SEP]고고고고 뭐 먹을까?[SEP]어제 김치찌개 먹어서 한식말고 딴 거[SEP]그럼 돈까스 어때?[SEP]오 좋다 1시 학관 앞으로 오셈[SEP]ㅇㅋ[EOS]"
inference:
parameters:
max_length: 64
top_k: 5
---
# BART R3F
[2021 훈민정음 한국어 음성•자연어 인공지능 경진대회] 대화요약 부문 알라꿍달라꿍 팀의 대화요약 학습 샘플 모델을 공유합니다.
[bart-r3f](... |
albertvillanova/autonlp-wikiann-entity_extraction-1e67664-1301123 | a41d734d99baf52cc5e0db6c8d38f72b17b0f534 | 2021-05-22T04:14:37.000Z | [
"pytorch",
"albert",
"token-classification",
"bn",
"dataset:albertvillanova/autonlp-data-wikiann-entity_extraction-1e67664",
"transformers",
"autonlp",
"autotrain_compatible"
] | token-classification | false | albertvillanova | null | albertvillanova/autonlp-wikiann-entity_extraction-1e67664-1301123 | 24 | 2 | transformers | 7,760 | ---
tags: autonlp
language: bn
widget:
- text: "I love AutoNLP 🤗"
datasets:
- albertvillanova/autonlp-data-wikiann-entity_extraction-1e67664
---
# Model Trained Using AutoNLP
- Problem type: Entity Extraction
- Model ID: 1301123
## Validation Metrics
- Loss: 0.14097803831100464
- Accuracy: 0.9740097463451206
- Pre... |
allenai/longformer-scico | 30022f11e6d9c4231b64d1495f1ff11b973a4c10 | 2021-09-30T10:04:33.000Z | [
"pytorch",
"longformer",
"text-classification",
"en",
"dataset:allenai/scico",
"transformers",
"longformer-scico",
"license:apache-2.0"
] | text-classification | false | allenai | null | allenai/longformer-scico | 24 | 1 | transformers | 7,761 | ---
language: en
tags:
- longformer
- longformer-scico
license: apache-2.0
datasets:
- allenai/scico
inference: false
---
# Longformer for SciCo
This model is the `unified` model discussed in the paper [SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts (AKBC 2021)](https://openreview.net/forum?i... |
bhavikardeshna/xlm-roberta-base-arabic | 155506a3f20d9c89857dce72140d6c8f7e655016 | 2021-12-21T11:41:04.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"arxiv:2112.09866",
"transformers",
"autotrain_compatible"
] | question-answering | false | bhavikardeshna | null | bhavikardeshna/xlm-roberta-base-arabic | 24 | 1 | transformers | 7,762 | # BibTeX entry and citation info
```
@misc{pandya2021cascading,
title={Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages},
author={Hariom A. Pandya and Bhavik Ardeshna and Dr. Brijesh S. Bhatt},
year={2021},
eprint={2112.09866},... |
cambridgeltl/simctg_english_wikipedia | 8976b60a827627d10ec618291a0e935eeca14903 | 2022-06-25T19:45:09.000Z | [
"pytorch",
"gpt2",
"text-generation",
"arxiv:2202.06417",
"transformers"
] | text-generation | false | cambridgeltl | null | cambridgeltl/simctg_english_wikipedia | 24 | null | transformers | 7,763 | This model provides a GPT-2 language model trained with SimCTG on the English Wikipedia based on our paper [_A Contrastive Framework for Neural Text Generation_](https://arxiv.org/abs/2202.06417).
We provide a detailed tutorial on how to apply SimCTG and Contrastive Search in our [project repo](https://github.com/yxua... |
camembert/camembert-base-ccnet-4gb | 940db5c122b766bb82b5e2e6290c6d82c04bb515 | 2020-12-11T21:35:11.000Z | [
"pytorch",
"camembert",
"fr",
"arxiv:1911.03894",
"transformers"
] | null | false | camembert | null | camembert/camembert-base-ccnet-4gb | 24 | null | transformers | 7,764 | ---
language: fr
---
# CamemBERT: a Tasty French Language Model
## Introduction
[CamemBERT](https://arxiv.org/abs/1911.03894) is a state-of-the-art language model for French based on the RoBERTa model.
It is now available on Hugging Face in 6 different versions with varying number of parameters, amount of pretrain... |
cardiffnlp/bertweet-base-stance-feminist | 09bcb891e6443cea7d7aa85a84510d9485880b94 | 2021-05-20T14:57:14.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | cardiffnlp | null | cardiffnlp/bertweet-base-stance-feminist | 24 | null | transformers | 7,765 | |
congcongwang/bart-base-en-zh | 5374572a6370dee233695aa209cf75a5917ff658 | 2020-10-04T21:16:04.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | congcongwang | null | congcongwang/bart-base-en-zh | 24 | null | transformers | 7,766 | Entry not found |
congcongwang/distilgpt2_fine_tuned_coder | 04eff431ef11d99e25142edb2e5aeee4ee0e36ad | 2021-05-21T15:04:51.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | congcongwang | null | congcongwang/distilgpt2_fine_tuned_coder | 24 | 1 | transformers | 7,767 | Entry not found |
dbmdz/flair-clef-hipe-german-base | 1bd0a25e12823de125082e5bc70ff5c818f237d3 | 2021-04-09T13:00:18.000Z | [
"pytorch",
"de",
"arxiv:2011.06993",
"arxiv:2010.10392",
"flair",
"token-classification",
"sequence-tagger-model",
"license:mit"
] | token-classification | false | dbmdz | null | dbmdz/flair-clef-hipe-german-base | 24 | null | flair | 7,768 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: de
widget:
- text: "Herr Oberst Brunner ist nämlich Hauptagent für den Kanton Zürich."
license: mit
---
# Triple E - Effective Ensembling of Embeddings and Language Models for NER of Historical German
Based on [our paper](http://ceur-ws.org/Vo... |
emrecan/bert-base-multilingual-cased-allnli_tr | 25f8e4b3271467c419a73e0e293d3299db775534 | 2021-12-03T20:46:47.000Z | [
"pytorch",
"bert",
"text-classification",
"tr",
"dataset:nli_tr",
"transformers",
"zero-shot-classification",
"nli",
"license:mit"
] | zero-shot-classification | false | emrecan | null | emrecan/bert-base-multilingual-cased-allnli_tr | 24 | null | transformers | 7,769 | ---
language:
- tr
tags:
- zero-shot-classification
- nli
- pytorch
pipeline_tag: zero-shot-classification
license: mit
datasets:
- nli_tr
metrics:
- accuracy
widget:
- text: "Dolar yükselmeye devam ediyor."
candidate_labels: "ekonomi, siyaset, spor"
- text: "Senaryo çok saçmaydı, beğendim diyemem."
candidate_label... |
ericzhou/DialoGPT-Medium-Rick_v2 | 61a36944dbe5d692bf8640d4b39997b78bc28980 | 2022-01-20T05:06:18.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ericzhou | null | ericzhou/DialoGPT-Medium-Rick_v2 | 24 | 1 | transformers | 7,770 | ---
tags:
- conversational
---
# rick |
facebook/s2t-wav2vec2-large-en-ca | 12c8a3c9ccae1f0ae603e758d42b9caa31390a6b | 2021-11-14T20:39:29.000Z | [
"pytorch",
"speech-encoder-decoder",
"automatic-speech-recognition",
"en",
"ca",
"dataset:covost2",
"dataset:librispeech_asr",
"arxiv:2104.06678",
"transformers",
"audio",
"speech-translation",
"speech2text2",
"license:mit"
] | automatic-speech-recognition | false | facebook | null | facebook/s2t-wav2vec2-large-en-ca | 24 | 2 | transformers | 7,771 | ---
language:
- en
- ca
datasets:
- covost2
- librispeech_asr
tags:
- audio
- speech-translation
- automatic-speech-recognition
- speech2text2
license: mit
pipeline_tag: automatic-speech-recognition
widget:
- example_title: Common Voice 1
src: https://cdn-media.huggingface.co/speech_samples/common_voice_en_18301577.m... |
fenrhjen/camembert_aux_amandes | 539ebd04389c079ea44818f0334f99e1fb255ccb | 2020-12-20T18:22:33.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | fenrhjen | null | fenrhjen/camembert_aux_amandes | 24 | null | transformers | 7,772 | |
flair/frame-english-fast | c9f6e94c9a7f077645d348c7c4985d0ee992b7eb | 2021-03-02T22:01:45.000Z | [
"pytorch",
"en",
"dataset:ontonotes",
"flair",
"token-classification",
"sequence-tagger-model"
] | token-classification | false | flair | null | flair/frame-english-fast | 24 | null | flair | 7,773 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: en
datasets:
- ontonotes
widget:
- text: "George returned to Berlin to return his hat."
---
## English Verb Disambiguation in Flair (fast model)
This is the fast verb disambiguation model for English that ships with [Flair](https://github.com/... |
glob-asr/wav2vec2-large-xls-r-300m-guarani-small | e601b22ad2f2d7b24031b3ac127878acad1e3fb6 | 2022-03-24T11:52:10.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"gn",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"robust-speech-event",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | glob-asr | null | glob-asr/wav2vec2-large-xls-r-300m-guarani-small | 24 | null | transformers | 7,774 | ---
language:
- gn
license: apache-2.0
tags:
- generated_from_trainer
- robust-speech-event
- gn
- hf-asr-leaderboard
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-guarani-small
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer ha... |
harshit345/xlsr_wav2vec_english | a34f5311c459b1b6ba67c65bab537856fecca2c5 | 2021-12-11T21:22:37.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"en",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | harshit345 | null | harshit345/xlsr_wav2vec_english | 24 | null | transformers | 7,775 | ---
language: en
datasets:
- common_voice
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Wav2Vec2 English by Jonatas Grosman
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
data... |
henryk/bert-base-multilingual-cased-finetuned-polish-squad1 | 515774f2646efcb7fb7f7016ce0045db9069c8e6 | 2021-05-19T19:04:09.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"pl",
"transformers",
"autotrain_compatible"
] | question-answering | false | henryk | null | henryk/bert-base-multilingual-cased-finetuned-polish-squad1 | 24 | null | transformers | 7,776 | ---
language: pl
---
# Multilingual + Polish SQuAD1.1
This model is the multilingual model provided by the Google research team with a fine-tuned polish Q&A downstream task.
## Details of the language model
Language model ([**bert-base-multilingual-cased**](https://github.com/google-research/bert/blob/master/multil... |
hfl/cino-base-v2 | 4e4eb5114da7a9eef6e3bcdeb997c20090afb4e8 | 2022-01-24T10:34:45.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"fill-mask",
"zh",
"bo",
"kk",
"ko",
"mn",
"ug",
"yue",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | hfl | null | hfl/cino-base-v2 | 24 | 2 | transformers | 7,777 | ---
language:
- zh
- bo
- kk
- ko
- mn
- ug
- yue
license: "apache-2.0"
---
## CINO: Pre-trained Language Models for Chinese Minority Languages（中国少数民族预训练模型）
Multilingual Pre-trained Language Model, such as mBERT, XLM-R, provide multilingual and cross-lingual ability for language understanding.
We have seen rapid pro... |
huggingtweets/bts_bighit | 0c1065599374b90b4c1a8511cb5750d3b3dbf04b | 2021-05-21T21:16:26.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/bts_bighit | 24 | null | transformers | 7,778 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1318205... |
huggingtweets/marsneedsmilfs | 4d127bd9d236bf511240d2a81b3a3d283fe3d299 | 2021-05-22T13:32:30.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/marsneedsmilfs | 24 | null | transformers | 7,779 | ---
language: en
thumbnail: https://www.huggingtweets.com/marsneedsmilfs/1614121336301/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1358993374... |
huggingtweets/murderlinart | bd04e04172eed23e8fc6525eaf5c91553be360b5 | 2021-05-22T15:30:57.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/murderlinart | 24 | null | transformers | 7,780 | ---
language: en
thumbnail: https://www.huggingtweets.com/murderlinart/1617904433043/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/137807523610... |
huggingtweets/qtsheepgirl | b7d4d93e4e20e5eb736ac4b93ee38fb7bc5a6ef7 | 2021-05-22T20:00:14.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/qtsheepgirl | 24 | null | transformers | 7,781 | ---
language: en
thumbnail: https://www.huggingtweets.com/qtsheepgirl/1614111306823/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1357323547606... |
huggingtweets/stefrappeneau | 94b7d3d0fe718dc49b9c1749a546a566e77a7cc7 | 2021-05-23T00:00:31.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/stefrappeneau | 24 | null | transformers | 7,782 | ---
language: en
thumbnail: https://www.huggingtweets.com/stefrappeneau/1609353045656/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose { ... |
huggingtweets/thatonequeen | 004f7bf25e2ba212625fed2ed5b9fd6097fdce73 | 2021-05-23T01:12:51.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/thatonequeen | 24 | null | transformers | 7,783 | ---
language: en
thumbnail: https://www.huggingtweets.com/thatonequeen/1612629006703/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose { c... |
iarfmoose/roberta-small-bulgarian-ner | 80a25716df202d7b2295d0c0a5dea0b615125565 | 2021-05-20T16:51:18.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | iarfmoose | null | iarfmoose/roberta-small-bulgarian-ner | 24 | null | transformers | 7,784 | Entry not found |
izumi-lab/electra-small-paper-japanese-discriminator | caba5a2f83aa6fe6686317a12b46d5436d3089de | 2022-03-19T09:40:02.000Z | [
"pytorch",
"electra",
"pretraining",
"ja",
"dataset:wikipedia",
"arxiv:2003.10555",
"transformers",
"license:cc-by-sa-4.0"
] | null | false | izumi-lab | null | izumi-lab/electra-small-paper-japanese-discriminator | 24 | 1 | transformers | 7,785 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
widget:
- text: 東京大学で[MASK]の研究をしています。
---
# ELECTRA small Japanese discriminator
This is a [ELECTRA](https://github.com/google-research/electra) model pretrained on texts in the Japanese language.
The codes for the pretraining are available at [reta... |
jamarju/roberta-large-bne-squad-2.0-es | 93ad0184d0ed7a0771388a046e662b8f30917f01 | 2021-08-05T14:59:41.000Z | [
"pytorch",
"roberta",
"question-answering",
"es",
"dataset:squad_es",
"transformers",
"autotrain_compatible"
] | question-answering | false | jamarju | null | jamarju/roberta-large-bne-squad-2.0-es | 24 | null | transformers | 7,786 | ---
language:
- es
datasets:
- squad_es
widget:
- text: "¿Quién era el duque en la batalla de Hastings?"
context: "La dinastía normanda tuvo un gran impacto político, cultural y militar en la Europa medieval e incluso en el Cercano Oriente. Los normandos eran famosos por su espíritu marcial y, finalmente, por su pied... |
jeniya/BERTOverflow_stackoverflow_github | 9fb82ec57c8b7573cf340bad5f629c5c3fe484a1 | 2021-05-19T20:48:44.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | jeniya | null | jeniya/BERTOverflow_stackoverflow_github | 24 | 1 | transformers | 7,787 |
# BERTOverflow
## Model description
We pre-trained BERT-base model on 152 million sentences from the StackOverflow's 10 year archive. More details of this model can be found in our ACL 2020 paper: [Code and Named Entity Recognition in StackOverflow](https://www.aclweb.org/anthology/2020.acl-main.443/). We would lik... |
joaoalvarenga/wav2vec2-large-xlsr-portuguese-a | a33b4944859db06f54bc71c51ffedf27f4c8a3ec | 2021-07-06T09:23:08.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"apache-2.0",
"portuguese-speech-corpus",
"xlsr-fine-tuning-week",
"PyTorch",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | joaoalvarenga | null | joaoalvarenga/wav2vec2-large-xlsr-portuguese-a | 24 | null | transformers | 7,788 | ---
language: pt
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- speech
- wav2vec2
- pt
- apache-2.0
- portuguese-speech-corpus
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
- PyTorch
license: apache-2.0
model-index:
- name: JoaoAlvarenga XLSR Wav2Vec2 Large 53 Portuguese A
results:
- tas... |
k-partha/decision_bert_bio | e8862263aac91883c0f6f668ef95481ccfc05b18 | 2022-01-29T03:36:59.000Z | [
"pytorch",
"bert",
"text-classification",
"arxiv:2109.06402",
"transformers"
] | text-classification | false | k-partha | null | k-partha/decision_bert_bio | 24 | null | transformers | 7,789 | Rates Twitter biographies on decision-making preference: Thinking or Feeling. Roughly corresponds to [agreeableness.](https://en.wikipedia.org/wiki/Agreeableness)
Go to your Twitter profile, copy your biography and paste in the inference widget, remove any URLs and press hit!
Trained on self-described personality lab... |
manandey/wav2vec2-large-xlsr-mongolian | 31defd0d8a9e8429a5abe60421a99ccb373566b9 | 2021-07-06T11:37:29.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"mn",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | manandey | null | manandey/wav2vec2-large-xlsr-mongolian | 24 | null | transformers | 7,790 | ---
language: mn
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Mongolian by Manan Dey
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Com... |
michaelrglass/albert-base-rci-tabmcq-row | 39e2686999689e8ae7a7ec946c3a8402cd43d379 | 2021-06-16T16:09:19.000Z | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | false | michaelrglass | null | michaelrglass/albert-base-rci-tabmcq-row | 24 | null | transformers | 7,791 | Entry not found |
nightingal3/bert-finetuned-wsc | 50045b9df90e0729a5555d15fb36549887c25d12 | 2021-10-19T16:09:06.000Z | [
"pytorch",
"bert",
"multiple-choice",
"transformers"
] | multiple-choice | false | nightingal3 | null | nightingal3/bert-finetuned-wsc | 24 | null | transformers | 7,792 | Entry not found |
patrickvonplaten/wav2vec2-2-bart-large | b8a94de6a635a54503433156e91e98a04982cf21 | 2021-12-29T15:49:52.000Z | [
"pytorch",
"tensorboard",
"speech-encoder-decoder",
"automatic-speech-recognition",
"transformers",
"librispeech_asr",
"generated_from_trainer",
"asr_seq2esq",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-2-bart-large | 24 | 5 | transformers | 7,793 | ---
tags:
- automatic-speech-recognition
- librispeech_asr
- generated_from_trainer
- asr_seq2esq
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
- ... |
piotr-rybak/poleval2021-task4-plt5-base-qa | a33abe7bfca7ccb3a33a4442e2e86cdddf2606cd | 2021-09-23T17:39:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | piotr-rybak | null | piotr-rybak/poleval2021-task4-plt5-base-qa | 24 | null | transformers | 7,794 | Entry not found |
r3dhummingbird/DialoGPT-medium-neku | ea721e0c3619d5e8e5ef115ec1f7548471b1bacd | 2021-06-08T02:57:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"license:mit"
] | conversational | false | r3dhummingbird | null | r3dhummingbird/DialoGPT-medium-neku | 24 | 3 | transformers | 7,795 | ---
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
tags:
- conversational
license: mit
---
# DialoGPT Trained on the Speech of a Game Character
This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on a game character, Neku Sakuraba from [Th... |
rsvp-ai/bertserini-bert-large-squad | 9e1d057d6c6cd5f2bec4b2e564e16506d49e43e0 | 2021-05-19T00:44:05.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | rsvp-ai | null | rsvp-ai/bertserini-bert-large-squad | 24 | null | transformers | 7,796 | Entry not found |
s3h/gec-token-classification-arabert | 05608103287647fcdc3dfdc965a4bb0a7e81a4ec | 2022-01-04T18:55:01.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | s3h | null | s3h/gec-token-classification-arabert | 24 | null | transformers | 7,797 | Entry not found |
shreeshaaithal/whatsapp-medium-bot-2 | 3fed305673c563c9f6ce02c1c46f48050d1d506b | 2021-07-07T06:28:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"license:mit"
] | conversational | false | shreeshaaithal | null | shreeshaaithal/whatsapp-medium-bot-2 | 24 | null | transformers | 7,798 | ---
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
tags:
- conversational
license: mit
---
# DialoGPT Trained on WhatsApp chats
This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on WhatsApp chats or you can train this model on [a Kaggle game sc... |
sismetanin/xlm_roberta_large-ru-sentiment-rureviews | 66882479d2401daf57c7b0960583d7d995296e76 | 2021-02-25T23:52:40.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"ru",
"transformers",
"sentiment analysis",
"Russian"
] | text-classification | false | sismetanin | null | sismetanin/xlm_roberta_large-ru-sentiment-rureviews | 24 | null | transformers | 7,799 | ---
language:
- ru
tags:
- sentiment analysis
- Russian
---
## XLM-RoBERTa-Large-ru-sentiment-RuReviews
XLM-RoBERTa-Large-ru-sentiment-RuReviews is a [XLM-RoBERTa-Large](https://huggingface.co/xlm-roberta-large) model fine-tuned on [RuReviews dataset](https://github.com/sismetanin/rureviews) of Russian-language revi... |
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