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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cardiffnlp/twitter-roberta-base-mar2021 | def19b955840163bf296fd3b288110bcdae6347c | 2022-02-09T11:15:38.000Z | [
"pytorch",
"roberta",
"fill-mask",
"arxiv:2202.03829",
"transformers",
"autotrain_compatible"
] | fill-mask | false | cardiffnlp | null | cardiffnlp/twitter-roberta-base-mar2021 | 45 | null | transformers | 6,200 | # Twitter March 2021 (RoBERTa-base, 111M)
This is a RoBERTa-base model trained on 111.26M tweets until the end of March 2021.
More details and performance scores are available in the [TimeLMs paper](https://arxiv.org/abs/2202.03829).
Below, we provide some usage examples using the standard Transformers interface. For... |
filco306/gpt2-bible-paraphraser | be7469608a522c5b03bc28bfaaba1be71ca12b4d | 2021-08-28T23:35:01.000Z | [
"pytorch",
"text-generation",
"arxiv:2010.05700",
"transformers"
] | text-generation | false | filco306 | null | filco306/gpt2-bible-paraphraser | 45 | null | transformers | 6,201 | # GPT2 Bible style transfer paraphraser
This is the trained Bible model from the paper [Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://arxiv.org/abs/2010.05700) by Krishna K. et al. Note that I (the uploader) am not the author of the paper. Permission to upload to Huggingface was given by ... |
imvladikon/general_character_bert | b6362c0612c490e215fad20cc25fb1585f72a856 | 2022-01-30T11:35:11.000Z | [
"pytorch",
"bert",
"en",
"dataset:wikipedia",
"dataset:openwebtext",
"arxiv:2010.10392",
"transformers",
"language model"
] | null | false | imvladikon | null | imvladikon/general_character_bert | 45 | 2 | transformers | 6,202 | ---
language:
- en
tags:
- language model
datasets:
- wikipedia
- openwebtext
---
Pretrained general_character_bert model
from the ['CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters' El Boukkouri H., et al., 2020](https://github.com/helboukkouri/character-bert... |
mrm8488/b2b-en-paraphrasing-questions | 110559b0a440c3221e82fd69ac7f3ca44e438855 | 2021-05-13T18:29:41.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/b2b-en-paraphrasing-questions | 45 | null | transformers | 6,203 | Entry not found |
patrickvonplaten/wav2vec2-base-timit-demo | 29b8a58b10a6f5e6cacb1bd1c5b9045809bb4f04 | 2021-03-12T15:12:49.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-base-timit-demo | 45 | null | transformers | 6,204 | ## Wav2Vec2 Fine-Tuned on English dataset Timit
The model was fine-tuned in a google colab for demonstration purposes.
Please refer to [this blog](https://huggingface.co/blog/fine-tune-wav2vec2-english) for more information about the model. |
persiannlp/parsbert-base-parsinlu-entailment | 9def97b746f32e55ffad560789e881a18825acf1 | 2021-09-23T16:20:50.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"fa",
"multilingual",
"dataset:parsinlu",
"transformers",
"entailment",
"parsbert",
"persian",
"farsi",
"license:cc-by-nc-sa-4.0"
] | text-classification | false | persiannlp | null | persiannlp/parsbert-base-parsinlu-entailment | 45 | null | transformers | 6,205 | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- entailment
- parsbert
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
metrics:
- accuracy
---
# Textual Entailment (مدل برای پاسخ به استلزام منطقی)
This is a model for textual entailment ... |
sentence-transformers/xlm-r-100langs-bert-base-nli-mean-tokens | 9bae0a206f0defa70b787686a7304e1389163114 | 2022-06-16T00:19:03.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"feature-extraction",
"arxiv:1908.10084",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | false | sentence-transformers | null | sentence-transformers/xlm-r-100langs-bert-base-nli-mean-tokens | 45 | null | sentence-transformers | 6,206 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net... |
unicamp-dl/ptt5-base-t5-vocab | 43cbbe5daf8b34b07baf587a215350996e758365 | 2021-03-24T22:17:23.000Z | [
"pytorch",
"tf",
"t5",
"text2text-generation",
"pt",
"dataset:brWaC",
"transformers",
"tensorflow",
"pt-br",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | unicamp-dl | null | unicamp-dl/ptt5-base-t5-vocab | 45 | null | transformers | 6,207 | ---
language: pt
license: mit
tags:
- t5
- pytorch
- tensorflow
- pt
- pt-br
datasets:
- brWaC
widget:
- text: "Texto de exemplo em português"
inference: false
---
# Portuguese T5 (aka "PTT5")
## Introduction
PTT5 is a T5 model pretrained in the BrWac corpus, a large collection of web pages in Portuguese, improvi... |
facebook/regnet-y-320-seer-in1k | a1a6cb6c4bbce9b1d2a7b841344ff41d3385529b | 2022-06-30T18:57:59.000Z | [
"pytorch",
"tf",
"regnet",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2202.08360",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | facebook | null | facebook/regnet-y-320-seer-in1k | 45 | null | transformers | 6,208 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: htt... |
patrickvonplaten/deberta_v3_amazon_reviews | aee6ef90aacdd0e865c3faddcfd0fb7e33694513 | 2022-03-25T10:46:41.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | patrickvonplaten | null | patrickvonplaten/deberta_v3_amazon_reviews | 45 | null | transformers | 6,209 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta_v3_amazon_reviews
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deberta_v3_amazo... |
hackathon-pln-es/wav2vec2-base-finetuned-sentiment-classification-MESD | ec33c814d40e6cc1631c6f2e32d66e0ebc5a7d73 | 2022-04-04T02:59:06.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | hackathon-pln-es | null | hackathon-pln-es/wav2vec2-base-finetuned-sentiment-classification-MESD | 45 | 1 | transformers | 6,210 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-sentiment-mesd
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 remo... |
Tiamz/hausa-4-ha-wa2vec-data-aug-xls-r-300m | 3533356a748d88172d33d0ed96d0ae6555810063 | 2022-04-25T11:59:15.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Tiamz | null | Tiamz/hausa-4-ha-wa2vec-data-aug-xls-r-300m | 45 | null | transformers | 6,211 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
name: hausa-4-ha-wa2vec-data-aug-xls-r-300m
---
<!-- 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. -->
# hausa-4-ha-... |
yikuan8/Clinical-BigBird | e0206e9159ecc6908353640df3c5fb6afa5f41ea | 2022-04-10T17:40:08.000Z | [
"pytorch",
"big_bird",
"fill-mask",
"en",
"arxiv:2201.11838",
"transformers",
"BigBird",
"clinical",
"autotrain_compatible"
] | fill-mask | false | yikuan8 | null | yikuan8/Clinical-BigBird | 45 | 1 | transformers | 6,212 | ---
language: "en"
tags:
- BigBird
- clinical
---
<span style="font-size:larger;">**Clinical-BigBird**</span> is a clinical knowledge enriched version of BigBird that was further pre-trained using MIMIC-III clinical notes. It allows up to 4,096 tokens as the model input. Clinical-BigBird consistently out-performs Cli... |
DongHyoungLee/bioroberta-misspell-corrector-2layers-initial | b9f9976d75b5ee405ed61cfea4334af865918fbf | 2022-04-21T08:14:58.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | DongHyoungLee | null | DongHyoungLee/bioroberta-misspell-corrector-2layers-initial | 45 | null | transformers | 6,213 | Entry not found |
ml6team/mt5-small-german-query-generation | 5f95c71bfeba9e1b7cbbe23a4120907ff9171a44 | 2022-04-27T06:24:37.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"de",
"transformers",
"query-generation",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | ml6team | null | ml6team/mt5-small-german-query-generation | 45 | null | transformers | 6,214 | ---
language:
- de
tags:
- pytorch
- query-generation
widget:
- text: "Das Lama (Lama glama) ist eine Art der Kamele. Es ist in den südamerikanischen Anden verbreitet und eine vom Guanako abstammende Haustierform."
example_title: "Article 1"
license: apache-2.0
metrics:
- Rouge-Score
---
# mt5-small-german-query-gen... |
Sreevishnu/funnel-transformer-small-imdb | fe18ccd25b8400fb4408f894cfb313de2de76076 | 2022-07-13T12:17:17.000Z | [
"pytorch",
"funnel",
"text-classification",
"en",
"dataset:imdb",
"arxiv:2006.03236",
"transformers",
"sentiment-analysis",
"license:apache-2.0"
] | text-classification | false | Sreevishnu | null | Sreevishnu/funnel-transformer-small-imdb | 45 | 1 | transformers | 6,215 | ---
license: apache-2.0
language: en
widget:
- text: "In the garden of wonderment that is the body of work by the animation master Hayao Miyazaki, his 2001 gem 'Spirited Away' is at once one of his most accessible films to a Western audience and the one most distinctly rooted in Japanese culture and lore. The tale of C... |
marksverdhei/unifiedqa-large-reddit-syac | 26bfba34b441f27f8a26309d24799bff53078f34 | 2022-05-30T20:54:05.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | marksverdhei | null | marksverdhei/unifiedqa-large-reddit-syac | 45 | null | transformers | 6,216 | ---
language: en
---
# UnifiedQA-Reddit-SYAC
This is an abstractive title answering (TA) / clickbait spoiling model.
This is a variant of [allenai/unifiedqa-t5-large](https://huggingface.co/allenai/unifiedqa-t5-large), fine-tuned on the Reddit SYAC dataset.
The model was trained as part of my masters thesis:
_A... |
LanglAdr/t5-base-medium-title-generation | a3c2668ac83e73ffd330047bdc07ef93faa28734 | 2022-05-21T13:37:59.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"transformers",
"generated_from_keras_callback",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | LanglAdr | null | LanglAdr/t5-base-medium-title-generation | 45 | null | transformers | 6,217 | ---
tags:
- generated_from_keras_callback
model-index:
- name: t5-base-medium-title-generation
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# t5-base-medium-title-g... |
tanapatentlm/patentdeberta_base_total_1024_pwi | 48d74d9f57e3859d28bc9080326e4c02db47db3f | 2022-05-26T10:16:57.000Z | [
"pytorch",
"deberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | tanapatentlm | null | tanapatentlm/patentdeberta_base_total_1024_pwi | 45 | null | transformers | 6,218 | Entry not found |
abspython/distilbert-finetuned | 42d72505059711005908953d29fb335d7b121fcd | 2022-05-30T03:44:19.000Z | [
"pytorch",
"tf",
"jax",
"distilbert",
"text-classification",
"en",
"transformers",
"license:other"
] | text-classification | false | abspython | null | abspython/distilbert-finetuned | 45 | null | transformers | 6,219 | ---
language: en
license: other
---
TDistilBERT finetuned
This model is a fine-tune checkpoint of DistilBERT-base-uncased[https://huggingface.co/distilbert-base-uncased]
|
ClassCat/gpt2-base-spanish | 576853f49de45b0d4c8973f882ee7c33b26d2967 | 2022-07-14T09:33:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"es",
"dataset:wikipedia",
"dataset:cc100",
"transformers",
"license:cc-by-sa-4.0"
] | text-generation | false | ClassCat | null | ClassCat/gpt2-base-spanish | 45 | 1 | transformers | 6,220 | ---
language: es
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
widget:
- text: "¿Hablas español?"
- text: "Es clima es"
- text: "Las negociaciones están paradas, pero"
---
## GPT2 Spanish base model (Uncased)
### Prerequisites
transformers==4.19.2
### Model architecture
This model uses GPT2 base setttings ex... |
mirikwa/gro-ner | 8a3d180295b2e29d0d61a49b0ad759826a5efc9a | 2022-07-01T09:21:40.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | mirikwa | null | mirikwa/gro-ner | 45 | null | transformers | 6,221 | Entry not found |
mirikwa/gro-ner-2 | 7174866841c411feb3e23a8b9fef030ef1aafc3c | 2022-07-21T11:56:46.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | mirikwa | null | mirikwa/gro-ner-2 | 45 | null | transformers | 6,222 | Entry not found |
pszemraj/opt-125m-email-generation | aae22d933819021c429ef3aae13e7e049ab905a0 | 2022-07-10T14:51:07.000Z | [
"pytorch",
"opt",
"text-generation",
"dataset:aeslc",
"transformers",
"generated_from_trainer",
"custom-license",
"non-commercial",
"email",
"auto-complete",
"125m",
"license:other"
] | text-generation | false | pszemraj | null | pszemraj/opt-125m-email-generation | 45 | null | transformers | 6,223 |
---
license: other
tags:
- generated_from_trainer
- opt
- custom-license
- non-commercial
- email
- auto-complete
- 125m
datasets:
- aeslc
widget:
- text: "Hey <NAME>,\n\nThank you for signing up for my weekly newsletter. Before we get started, you'll have to confirm your email address."
example_title: "newsletter... |
ashtrindade/chatbot-stacey | df90ad0341da028bfed895ae117e437e09489594 | 2022-07-11T18:24:52.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ashtrindade | null | ashtrindade/chatbot-stacey | 45 | null | transformers | 6,224 | ---
tags:
- conversational
---
# Chatbot Stacey
Made for **LGBTQ+ Spacey**'s Bot on [Discord](https://discord.com/invite/jt4PWme44X).
[](https://github.com/ashtrindade/spacey-website-articles-api/blob/main/LICENSE.md)
---
## License
MIT License
Copyri... |
flych3r/xrrg | 874553fe7aba8d59889174757b2b0ddebb46d74c | 2022-07-21T20:49:29.000Z | [
"pytorch",
"dataset:mimix-cxr",
"transformers",
"image-to-text"
] | image-to-text | false | flych3r | null | flych3r/xrrg | 45 | null | transformers | 6,225 | ---
tags:
- image-to-text
datasets:
- mimix-cxr
---
Code available on [this GitHub repo](https://github.com/flych3r/xrrg).
```bash
$ pip install git+https://github.com/flych3r/xrrg.git
```
```python
>>> import torch
>>> from imageio import imread
>>> from transformers import AutoFeatureExtractor, AutoTokenizer
>>> fr... |
Geotrend/bert-base-en-fr-es-de-zh-cased | 26847872ea179c1b4755e63455359488c7510fd0 | 2021-05-18T19:22:08.000Z | [
"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-fr-es-de-zh-cased | 44 | null | transformers | 6,226 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# bert-base-en-fr-es-de-zh-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:... |
Helsinki-NLP/opus-mt-swc-en | 59ed338abbc93182c4b3be53bbfeaeb02b6fdcdb | 2021-09-11T10:47:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"swc",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-swc-en | 44 | null | transformers | 6,227 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-swc-en
* source languages: swc
* target languages: en
* OPUS readme: [swc-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/swc-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-zh-ms | b0d497c4cef705f08d82663299c4a0263d596f10 | 2020-08-21T14:42:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"zh",
"ms",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-zh-ms | 44 | null | transformers | 6,228 | ---
language:
- zh
- ms
tags:
- translation
license: apache-2.0
---
### zho-msa
* source group: Chinese
* target group: Malay (macrolanguage)
* OPUS readme: [zho-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-msa/README.md)
* model: transformer-align
* source language(s): cmn_Bo... |
KoichiYasuoka/bert-base-japanese-luw-upos | b2eb9a9ade424068343778300477dc34708c939e | 2022-06-26T23:33:42.000Z | [
"pytorch",
"bert",
"token-classification",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"pos",
"wikipedia",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/bert-base-japanese-luw-upos | 44 | 1 | transformers | 6,229 | ---
language:
- "ja"
tags:
- "japanese"
- "token-classification"
- "pos"
- "wikipedia"
- "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。"
---
# bert-base-japanese-luw-upos
## Model Description
This is a BERT... |
KoichiYasuoka/roberta-large-japanese-aozora | e58ed01c0f00d79513b6fb8280b26b5f7cfa4c73 | 2022-02-13T02:03:35.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ja",
"transformers",
"japanese",
"masked-lm",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/roberta-large-japanese-aozora | 44 | 2 | transformers | 6,230 | ---
language:
- "ja"
tags:
- "japanese"
- "masked-lm"
license: "cc-by-sa-4.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
widget:
- text: "日本に着いたら[MASK]を訪ねなさい。"
---
# roberta-large-japanese-aozora
## Model Description
This is a RoBERTa model pre-trained on 青空文庫 texts with [Japanese-LUW-Tokenizer](https://github.c... |
LukasStankevicius/t5-base-lithuanian-news-summaries-175 | 80bfe91cdc384510551361c00ce6b50768249693 | 2022-07-28T06:00:09.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"lt",
"transformers",
"Lithuanian",
"summarization",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | false | LukasStankevicius | null | LukasStankevicius/t5-base-lithuanian-news-summaries-175 | 44 | null | transformers | 6,231 | ---
language: lt
tags:
- t5
- Lithuanian
- summarization
widget:
- text: "Latvijos krepšinio legenda Valdis Valteris pirmadienį socialiniame tinkle pasidalino statistika, kurios viršūnėje yra Arvydas Sabonis. 1982 metais TSRS rinktinėje debiutavęs 222 cm ūgio vidurio puolėjas su raudona apranga sužaidė 52 rungtynes, pe... |
MoritzLaurer/DeBERTa-v3-small-mnli-fever-docnli-ling-2c | 0e77c94338386ca9345318da2c04db51401083bb | 2022-01-15T14:49:28.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"en",
"arxiv:2104.07179",
"arxiv:2106.09449",
"arxiv:2006.03654",
"arxiv:2111.09543",
"transformers",
"zero-shot-classification"
] | text-classification | false | MoritzLaurer | null | MoritzLaurer/DeBERTa-v3-small-mnli-fever-docnli-ling-2c | 44 | null | transformers | 6,232 | ---
language:
- en
tags:
- text-classification
- zero-shot-classification
metrics:
- accuracy
widget:
- text: "I first thought that I liked the movie, but upon second thought the movie was actually disappointing. [SEP] The movie was good."
---
# DeBERTa-v3-small-mnli-fever-docnli-ling-2c
## Model description
This mod... |
NTUYG/DeepSCC-RoBERTa | 43cf2d48e8c75d255dccab2a19e40d4774fd8853 | 2021-05-20T12:15:05.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | NTUYG | null | NTUYG/DeepSCC-RoBERTa | 44 | null | transformers | 6,233 | ## How to use
```python
from simpletransformers.classification import ClassificationModel, ClassificationArgs
name_file = ['bash', 'c', 'c#', 'c++','css', 'haskell', 'java', 'javascript', 'lua', 'objective-c', 'perl', 'php', 'python','r','ruby', 'scala', 'sql', 'swift', 'vb.net']
deep_scc_model_args = Classification... |
PlanTL-GOB-ES/roberta-large-bne-capitel-pos | 014f0e886e82a24846773371cb67572f5c0db6ba | 2022-04-06T14:41:56.000Z | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:bne",
"dataset:capitel",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"capitel",
"pos",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | PlanTL-GOB-ES | null | PlanTL-GOB-ES/roberta-large-bne-capitel-pos | 44 | null | transformers | 6,234 | ---
language:
- es
license: apache-2.0
tags:
- "national library of spain"
- "spanish"
- "bne"
- "capitel"
- "pos"
datasets:
- "bne"
- "capitel"
metrics:
- "f1"
widget:
- text: "Festival de San Sebastián: Johnny Depp recibirá el premio Donostia en pleno rifirrafe judicial con Amber Heard"
- text: "El alcalde de Vigo... |
SEBIS/code_trans_t5_base_source_code_summarization_python | b0a4ffe48009e7d6589f55f811afd4e96728fa38 | 2021-06-23T05:20:12.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_source_code_summarization_python | 44 | null | transformers | 6,235 | ---
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... |
SEBIS/code_trans_t5_base_source_code_summarization_python_multitask | 02c738826440294ab5f1c14ee21feddeeb8da094 | 2021-06-23T05:22:00.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_source_code_summarization_python_multitask | 44 | null | transformers | 6,236 | ---
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... |
SajjadAyoubi/clip-fa-vision | b78ef94830d17dbb031636b01c4f9cf89b968ed0 | 2021-12-22T19:03:07.000Z | [
"pytorch",
"clip_vision_model",
"arxiv:2103.00020",
"transformers"
] | null | false | SajjadAyoubi | null | SajjadAyoubi/clip-fa-vision | 44 | null | transformers | 6,237 | # CLIPfa: Connecting Farsi Text and Images
OpenAI released [`the paper Learning Transferable Visual Models From Natural Language Supervision`](https://arxiv.org/abs/2103.00020) in which they present the CLIP (Contrastive Language–Image Pre-training) model. This model is trained to connect text and images, by matching t... |
Salesforce/qaconv-roberta-large-squad2 | 2ca8142c957dea6662e7302ba33f987fbc6c83a1 | 2021-05-27T22:43:40.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | Salesforce | null | Salesforce/qaconv-roberta-large-squad2 | 44 | null | transformers | 6,238 | Entry not found |
SetFit/distilbert-base-uncased__sst5__all-train | 4824199de0ffe47100384e4d058c442e1db8c88e | 2022-01-27T08:36:42.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | SetFit | null | SetFit/distilbert-base-uncased__sst5__all-train | 44 | null | transformers | 6,239 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__sst5__all-train
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 re... |
aditeyabaral/sentencetransformer-roberta-hinglish-small | a083fbd59f6d4ecf61abcef0f1e469b9bab5a86f | 2021-10-19T22:53:39.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | aditeyabaral | null | aditeyabaral/sentencetransformer-roberta-hinglish-small | 44 | null | sentence-transformers | 6,240 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# aditeyabaral/sentencetransformer-roberta-hinglish-small
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector s... |
adresgezgini/turkish-gpt-2 | 69fa896e7dcd133211ba968245ee65dbf2f99092 | 2021-05-21T11:53:09.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | adresgezgini | null | adresgezgini/turkish-gpt-2 | 44 | null | transformers | 6,241 | AdresGezgini Inc. R&D Center Turkish GPT-2 Model Trained with Turkish Wiki Corpus for 10 Epochs
|
allenai/dsp_roberta_base_dapt_cs_tapt_sciie_3219 | b7401dd8adc4fda24e474678d8b7ad99b66476c0 | 2021-05-20T13:09:40.000Z | [
"pytorch",
"jax",
"roberta",
"transformers"
] | null | false | allenai | null | allenai/dsp_roberta_base_dapt_cs_tapt_sciie_3219 | 44 | null | transformers | 6,242 | Entry not found |
allenai/wmt16-en-de-dist-6-1 | e0bbcbd4c091dd6ea85d96b9ca7bbf02d499f738 | 2020-12-11T21:33:24.000Z | [
"pytorch",
"fsmt",
"text2text-generation",
"en",
"de",
"dataset:wmt16",
"arxiv:2006.10369",
"transformers",
"translation",
"wmt16",
"allenai",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | allenai | null | allenai/wmt16-en-de-dist-6-1 | 44 | 1 | transformers | 6,243 |
---
language:
- en
- de
thumbnail:
tags:
- translation
- wmt16
- allenai
license: apache-2.0
datasets:
- wmt16
metrics:
- bleu
---
# FSMT
## Model description
This is a ported version of fairseq-based [wmt16 transformer](https://github.com/jungokasai/deep-shallow/) for en-de.
For more details, please, see [Deep En... |
anton-l/distilhubert-ft-common-language | cf173c6c7327388b186107c4e584a59e5c7571de | 2021-10-27T21:29:13.000Z | [
"pytorch",
"tensorboard",
"hubert",
"audio-classification",
"dataset:common_language",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | anton-l | null | anton-l/distilhubert-ft-common-language | 44 | null | transformers | 6,244 | ---
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
datasets:
- common_language
metrics:
- accuracy
model-index:
- name: distilhubert-ft-common-language
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... |
blizrys/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-pubmedqa | 2e532b4586178dc73370a3545555cbbc17af0ed7 | 2021-09-15T04:08:24.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | blizrys | null | blizrys/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-pubmedqa | 44 | null | transformers | 6,245 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- null
metrics:
- accuracy
model-index:
- name: BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-pubmedqa
results:
- task:
name: Text Classification
type: text-classification
metrics:
- name: Accuracy
type: accuracy
... |
gigant/romanian-wav2vec2 | 6563424a64b6b6514b61ccf5d8fcaf8f0813c40e | 2022-04-19T11:19:51.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ro",
"dataset:mozilla-foundation/common_voice_8_0",
"dataset:gigant/romanian_speech_synthesis_0_8_1",
"transformers",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | gigant | null | gigant/romanian-wav2vec2 | 44 | null | transformers | 6,246 | ---
language:
- ro
license: apache-2.0
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
- gigant/romanian_speech_synthesis_0_8_1
model-index:
- name: wav2vec2-ro-300m_01
results:
- task:
name: Automatic Speech Recognition
typ... |
huggingtweets/pee_zombie | 7b432f59b69940bcd20351b40a5ad4d34efba95b | 2021-05-22T18:16:52.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/pee_zombie | 44 | null | transformers | 6,247 | ---
language: en
thumbnail: https://www.huggingtweets.com/pee_zombie/1616617739690/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/13640979138031... |
m3hrdadfi/bert-zwnj-wnli-mean-tokens | b9506ddc579ac8c398ae6dae680401ae0a1a5b23 | 2021-06-28T18:31:12.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | feature-extraction | false | m3hrdadfi | null | m3hrdadfi/bert-zwnj-wnli-mean-tokens | 44 | null | sentence-transformers | 6,248 | ---
pipeline_tag: feature-extraction
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# Sentence Embeddings with `bert-zwnj-wnli-mean-tokens`
## Usage (Sentence-Transformers)
Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed... |
m3hrdadfi/hubert-base-persian-speech-gender-recognition | e3bf5887ded0d198a8a02d7269b00fc710648acc | 2021-06-23T12:16:09.000Z | [
"pytorch",
"hubert",
"fa",
"dataset:shemo",
"transformers",
"audio",
"speech",
"speech-gender-recognition",
"license:apache-2.0"
] | null | false | m3hrdadfi | null | m3hrdadfi/hubert-base-persian-speech-gender-recognition | 44 | null | transformers | 6,249 | ---
language: fa
datasets:
- shemo
tags:
- audio
- speech
- speech-gender-recognition
license: apache-2.0
---
# Emotion Recognition in Persian (fa) Speech using HuBERT
## How to use
### Requirements
```bash
# requirement packages
!pip install git+https://github.com/huggingface/datasets.git
!pip install git+https:/... |
mnaylor/bioclinical-bert-finetuned-mtsamples | 8ef2c7978644a9a4e8c2f822e726b8bea693602c | 2021-07-19T15:52:36.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | mnaylor | null | mnaylor/bioclinical-bert-finetuned-mtsamples | 44 | 1 | transformers | 6,250 | # BioClinical BERT Fine-tuned on MTSamples
This model is simply [Alsentzer's Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) fine-tuned on the MTSamples dataset, with a classification task defined in [this repo](https://github.com/socd06/medical-nlp). |
monsoon-nlp/sanaa | 3cd3a13eaf280209b61b74b35d075beafbd36d19 | 2021-05-23T10:07:25.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"ar",
"transformers"
] | text-generation | false | monsoon-nlp | null | monsoon-nlp/sanaa | 44 | null | transformers | 6,251 | ---
language: ar
---
# Sanaa
## Arabic GPT-2 demo
This is a small GPT-2 model retrained on Arabic Wikipedia circa September 2020
(due to memory limits, the first 600,000 lines of the Wiki dump)
There is NO content filtering in the current version; do not use for public-facing
text generation.
## Training
Training ... |
nbroad/mt5-small-qgen | 636ca8f561f2fdf239d946cb17c2f151243887a6 | 2022-07-07T16:46:01.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"mt5",
"text2text-generation",
"en",
"hi",
"de",
"ar",
"bn",
"fi",
"ja",
"zh",
"id",
"sw",
"ta",
"gr",
"ru",
"es",
"th",
"tr",
"vi",
"dataset:squad_v2",
"dataset:tydiqa",
"dataset:mlqa",
"dataset:xquad",
"dataset:germanquad... | text2text-generation | false | nbroad | null | nbroad/mt5-small-qgen | 44 | 2 | transformers | 6,252 | ---
datasets:
- squad_v2
- tydiqa
- mlqa
- xquad
- germanquad
language:
- en
- hi
- de
- ar
- bn
- fi
- ja
- zh
- id
- sw
- ta
- gr
- ru
- es
- th
- tr
- vi
widget:
- text: "Hugging Face has seen rapid growth in its popularity since the get-go. It is definitely doing the right things to attract more and more people to ... |
novakat/nerkor-hubert | c71f30f4c76790433c9bdaec7d0e1e47c0961853 | 2022-07-04T21:24:09.000Z | [
"pytorch",
"bert",
"hu",
"transformers",
"token-classification",
"license:gpl"
] | token-classification | false | novakat | null | novakat/nerkor-hubert | 44 | null | transformers | 6,253 | ---
language:
- hu
tags:
- token-classification
license: gpl
metrics:
- F1
widget:
- text: "A jótékonysági szervezet által idézett Forbes-adatok szerint a világ tíz leggazdagabb embere: Elon Musk (Tesla, SpaceX), Jeff Bezos (Amazon, Blue Origin), Bernard Arnault és családja (LVMH, azaz Louis Vuitton és Moët Henness... |
sarnikowski/electra-small-generator-da-256-cased | f3862af42de45c3d74af16c0a007d2b371659f50 | 2021-01-23T19:38:37.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"da",
"arxiv:2003.10555",
"transformers",
"license:cc-by-4.0",
"autotrain_compatible"
] | fill-mask | false | sarnikowski | null | sarnikowski/electra-small-generator-da-256-cased | 44 | null | transformers | 6,254 | ---
language: da
license: cc-by-4.0
---
# Danish ELECTRA small (cased)
An [ELECTRA](https://arxiv.org/abs/2003.10555) model pretrained on a custom Danish corpus (~17.5gb).
For details regarding data sources and training procedure, along with benchmarks on downstream tasks, go to: https://github.com/sarnikowski/danis... |
shiwangi27/wave2vec2-large-xlsr-hindi | e06948634f8b80bc4fc3031baa0dd984cd5a044f | 2021-04-09T20:56:03.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hi",
"dataset:openslr_hindi",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"xlsr-hindi",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | shiwangi27 | null | shiwangi27/wave2vec2-large-xlsr-hindi | 44 | 1 | transformers | 6,255 | ---
language: hi
datasets:
- openslr_hindi
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
- xlsr-hindi
license: apache-2.0
model-index:
- name: Fine-tuned Hindi XLSR Wav2Vec2 Large
results:
- task:
name: Speech Recognition
type: automatic... |
superb/wav2vec2-large-superb-sid | 367cec2f00f36e6717b420660bd814dabac952f5 | 2021-11-04T16:03:45.000Z | [
"pytorch",
"wav2vec2",
"audio-classification",
"en",
"dataset:superb",
"arxiv:2105.01051",
"transformers",
"speech",
"audio",
"license:apache-2.0"
] | audio-classification | false | superb | null | superb/wav2vec2-large-superb-sid | 44 | null | transformers | 6,256 | ---
language: en
datasets:
- superb
tags:
- speech
- audio
- wav2vec2
- audio-classification
license: apache-2.0
widget:
- example_title: VoxCeleb Speaker id10003
src: https://cdn-media.huggingface.co/speech_samples/VoxCeleb1_00003.wav
- example_title: VoxCeleb Speaker id10004
src: https://cdn-media.huggingface.co/... |
valurank/distilbert-quality | 983be6cda2b5defe6b9818f3e89ace9ce6092367 | 2022-06-08T20:43:36.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:valurank/news-small",
"transformers",
"license:other"
] | text-classification | false | valurank | null | valurank/distilbert-quality | 44 | null | transformers | 6,257 | ---
license: other
language: en
datasets:
- valurank/news-small
---
# DistilBERT fine-tuned for news classification
This model is based on [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) pretrained weights, with a classification head fine-tuned to classify news articles into 3 categories (ba... |
voidful/wav2vec2-large-xlsr-53-hk | 5f1f03b5593cf93420a61ce6e9e7febca27dc169 | 2022-07-21T08:58:49.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"zh-HK",
"dataset:common_voice",
"transformers",
"audio",
"hf-asr-leaderboard",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | voidful | null | voidful/wav2vec2-large-xlsr-53-hk | 44 | 1 | transformers | 6,258 | ---
language: zh-HK
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
- robust-speech-event
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Cantonese (Hong Kong) by Voidful
results:
- task:
name: Speech Recognition
type: au... |
wilsontam/bert-base-uncased-dstc10-knowledge-cluster-classifier | c363423743269df510f2df080f76a67277d648c9 | 2022-05-26T15:03:35.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"transformers",
"dstc10",
"knowledge cluster classifier"
] | text-classification | false | wilsontam | null | wilsontam/bert-base-uncased-dstc10-knowledge-cluster-classifier | 44 | null | transformers | 6,259 | ---
language: "en"
tags:
- dstc10
- knowledge cluster classifier
widget:
- text: "oh and we'll mi thing uh is there bike clo ars or bike crac where i can park my thee"
- text: "oh and one more thing uhhh is there bike lockers or a bike rack where i can park my bike"
- text: "ni yeah that sounds great ummm dold you have... |
Splend1dchan/bert-base-uncased-slue-goldtrascription-e3-lr1e-4 | 48f02933bd9b51fdd9db9f9d17898d61ddcf0c53 | 2022-03-12T05:35:39.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Splend1dchan | null | Splend1dchan/bert-base-uncased-slue-goldtrascription-e3-lr1e-4 | 44 | null | transformers | 6,260 | Entry not found |
StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_Augmented_EN | dc1c8604f0a11f10865a07e568fd329d51d1a141 | 2022-03-17T14:45:49.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | StivenLancheros | null | StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_Augmented_EN | 44 | null | transformers | 6,261 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: biobert-base-cased-v1.2-finetuned-ner-CRAFT_Augmented_EN
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... |
BigSalmon/GPT2Neo1.3BPoints | c81c13e9df1c59515c66fe02c8ec8ccfa3082a13 | 2022-04-04T05:14:11.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/GPT2Neo1.3BPoints | 44 | null | transformers | 6,262 | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPT2Neo1.3BPoints")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPT2Neo1.3BPoints")
```
```
- moviepass to return
- this summer
- swooped up by
- original co-founder stacy spikes
text: th... |
SiriusRen/my-awesome-model | 2c849afaa00d98c4f1486945745eaedd41b1c301 | 2022-04-11T06:16:49.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | SiriusRen | null | SiriusRen/my-awesome-model | 44 | null | transformers | 6,263 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: my-awesome-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# m... |
dennishe97/codebert-base-v2 | 314c6da55de700ea8ec417fc1a8ca09166a059ad | 2022-05-03T14:11:15.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | dennishe97 | null | dennishe97/codebert-base-v2 | 44 | null | transformers | 6,264 | Entry not found |
searle-j/kote_for_easygoing_people | 0d493bc0cbd30923751a1ae7aa34ccfbee08b88d | 2022-05-06T06:42:13.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers",
"license:mit"
] | text-classification | false | searle-j | null | searle-j/kote_for_easygoing_people | 44 | null | transformers | 6,265 | ---
license: mit
---
|
bookbot/distil-wav2vec2-adult-child-id-cls-52m | 07e4690b94eb824829baf94f52688b4d5c13a1be | 2022-05-12T12:36:22.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"id",
"arxiv:2006.11477",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | bookbot | null | bookbot/distil-wav2vec2-adult-child-id-cls-52m | 44 | null | transformers | 6,266 | ---
language: id
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distil-wav2vec2-adult-child-id-cls-52m
results: []
---
# DistilWav2Vec2 Adult/Child Indonesian Speech Classifier 52M
DistilWav2Vec2 Adult/Child Indonesian ... |
emilylearning/cond_ft_none_on_wiki_bio__prcnt_100__test_run_False | 755368bd6d7ee1e530e42ab6f0a04d9575b061b7 | 2022-05-12T19:48:52.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/cond_ft_none_on_wiki_bio__prcnt_100__test_run_False | 44 | null | transformers | 6,267 | Entry not found |
Rhuax/MiniLMv2-L12-H384-distilled-finetuned-spam-detection | 5ff852c3e6c3e5d8b2e27a5448d2214c2fb37483 | 2022-06-02T13:21:41.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"dataset:sms_spam",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | Rhuax | null | Rhuax/MiniLMv2-L12-H384-distilled-finetuned-spam-detection | 44 | null | transformers | 6,268 | ---
tags:
- generated_from_trainer
datasets:
- sms_spam
metrics:
- accuracy
model-index:
- name: MiniLMv2-L12-H384-distilled-finetuned-spam-detection
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: sms_spam
type: sms_spam
args: plain_text
met... |
kabelomalapane/En-Af | 2c1841208f95480af8393b650efd94280cf54f67 | 2022-06-05T23:47:35.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | kabelomalapane | null | kabelomalapane/En-Af | 44 | null | transformers | 6,269 | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Af
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. -->
#... |
robingeibel/led-base-16384-finetuned-big_patent | 19eadd0cfcd5f48bb05a4da819d4ff638c75b6e4 | 2022-07-12T09:28:33.000Z | [
"pytorch",
"tf",
"tensorboard",
"led",
"feature-extraction",
"transformers",
"generated_from_keras_callback",
"model-index"
] | feature-extraction | false | robingeibel | null | robingeibel/led-base-16384-finetuned-big_patent | 44 | null | transformers | 6,270 | ---
tags:
- generated_from_keras_callback
model-index:
- name: led-base-16384-finetuned-big_patent
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# led-base-16384-fin... |
Mithil/Bert | 3dcc820368d9f296177c0969c0ff164b1702567f | 2022-06-18T08:22:44.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:afl-3.0"
] | text-classification | false | Mithil | null | Mithil/Bert | 44 | null | transformers | 6,271 | ---
license: afl-3.0
---
|
pinot/wav2vec2-large-xls-r-300m-japanese-colab | 20132742239a7fffe80d84b958a6e8160f6cb8b9 | 2022-07-10T13:44:50.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | pinot | null | pinot/wav2vec2-large-xls-r-300m-japanese-colab | 44 | null | transformers | 6,272 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-japanese-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... |
bookpanda/wangchanberta-base-att-spm-uncased-tagging | 712de4d57360fa2448052bdf2a5018fe8cd9ce7b | 2022-06-19T15:19:48.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | bookpanda | null | bookpanda/wangchanberta-base-att-spm-uncased-tagging | 44 | null | transformers | 6,273 | ---
tags:
- generated_from_trainer
model-index:
- name: wangchanberta-base-att-spm-uncased-tagging
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. -->
# wangchanbert... |
userGagan/segformer-b0-finetuned-segments-sidewalk-2 | bf2871cc2c6369c7844789693771eb90cdeb9b1b | 2022-07-14T06:33:30.000Z | [
"pytorch",
"tensorboard",
"segformer",
"transformers",
"vision",
"image-segmentation",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-segmentation | false | userGagan | null | userGagan/segformer-b0-finetuned-segments-sidewalk-2 | 44 | null | transformers | 6,274 | ---
license: apache-2.0
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: segformer-b0-finetuned-segments-sidewalk-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... |
freedomking/ernie-ctm-nptag | fb8e49290c89b92fa31bc49246a51e487e9d594e | 2022-07-10T05:13:13.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | freedomking | null | freedomking/ernie-ctm-nptag | 44 | null | transformers | 6,275 | ## Introduction
### Ernie-CTM-NPTag
Ernie-CTM-NPTag使用ERNIE-CTM+prompt训练而成，使用启发式搜索解码，保证分类结果都在标签体系之内。在微调任务中提供了一个中文名词短语标注的任务，旨在对中文名词短语进行细粒度分类。
More detail:
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/text_to_knowledge/nptag |
shashank1303/bert-finetuned-squad-accelerate | a5c2e8c60c4921843072ea204ab6432bc6a97eba | 2022-07-11T07:48:36.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | shashank1303 | null | shashank1303/bert-finetuned-squad-accelerate | 44 | null | transformers | 6,276 | Entry not found |
Sidhanttholenlp/distilbert-finetuned-imdb | 0c258ec9b5c282964d9d3fc1ad0f8dbc262eb685 | 2022-07-24T05:39:01.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Sidhanttholenlp | null | Sidhanttholenlp/distilbert-finetuned-imdb | 44 | null | transformers | 6,277 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-finetuned-imdb
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.... |
beinghorizontal/wav2vec2-base-en-in | 3534b21cfec9dc69f274b042227109d859b3a4d2 | 2022-07-29T21:29:04.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | beinghorizontal | null | beinghorizontal/wav2vec2-base-en-in | 44 | null | transformers | 6,278 | ---
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-en-in
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. -->
# wav2vec2-base-en-in
This model is ... |
Aries/T5_question_generation | c2aefecbd672e9ae8930e84b6c6ee919ac8ac9c2 | 2021-06-23T02:05:43.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Aries | null | Aries/T5_question_generation | 43 | 1 | transformers | 6,279 | Entry not found |
Edresson/wav2vec2-large-100k-voxpopuli-ft-Common_Voice_plus_TTS-Dataset_plus_Data_Augmentation-portuguese | c70667d97e382702560a1fe15508607e7218d5c2 | 2022-07-17T17:38:12.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:Common Voice",
"arxiv:2204.00618",
"transformers",
"audio",
"speech",
"Portuguese-speech-corpus",
"PyTorch",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Edresson | null | Edresson/wav2vec2-large-100k-voxpopuli-ft-Common_Voice_plus_TTS-Dataset_plus_Data_Augmentation-portuguese | 43 | 2 | transformers | 6,280 | ---
language: pt
datasets:
- Common Voice
metrics:
- wer
tags:
- audio
- speech
- wav2vec2
- pt
- Portuguese-speech-corpus
- automatic-speech-recognition
- speech
- PyTorch
license: apache-2.0
model-index:
- name: Edresson Casanova Wav2vec2 Large 100k Voxpopuli fine-tuned in Portuguese using the Common Voice 7.0, TTS-... |
IMSyPP/hate_speech_nl | 571af0e4558288a3f1c249b5bfd1da8149a584a7 | 2022-05-20T13:41:57.000Z | [
"pytorch",
"bert",
"text-classification",
"nl",
"transformers",
"license:mit"
] | text-classification | false | IMSyPP | null | IMSyPP/hate_speech_nl | 43 | 1 | transformers | 6,281 | ---
language:
- nl
license: mit
---
# Hate Speech Classifier for Social Media Content in Dutch
A monolingual model for hate speech classification of social media content in Dutch. The model was trained on 20000 social media posts (youtube, twitter, facebook) and tested on an independent test set of 2000 posts. It ... |
KoichiYasuoka/roberta-classical-chinese-large-sentence-segmentation | 7e2fb3ab1680d82e79df0f314f84994c8ec87d5a | 2021-12-10T00:35:08.000Z | [
"pytorch",
"roberta",
"token-classification",
"lzh",
"transformers",
"classical chinese",
"literary chinese",
"ancient chinese",
"sentence segmentation",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/roberta-classical-chinese-large-sentence-segmentation | 43 | 1 | transformers | 6,282 | ---
language:
- "lzh"
tags:
- "classical chinese"
- "literary chinese"
- "ancient chinese"
- "sentence segmentation"
- "token-classification"
license: "apache-2.0"
pipeline_tag: "token-classification"
widget:
- text: "子曰學而時習之不亦説乎有朋自遠方來不亦樂乎人不知而不慍不亦君子乎"
---
# roberta-classical-chinese-large-sentence-segmentation
## Mod... |
Media1129/keyword-tag-model | 4a8d043beeac0b714d809e7e4e27f045ffb74ffa | 2021-09-02T06:45:33.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/keyword-tag-model | 43 | null | transformers | 6,283 | Entry not found |
NbAiLab/test_w5_long_dataset | 3ba1a3415f16ac247610c8c44a9a2bd2c10cb519 | 2021-12-21T08:30:00.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | NbAiLab | null | NbAiLab/test_w5_long_dataset | 43 | null | transformers | 6,284 | Just for performing some experiments. Do not use. |
Parth/mT5-question-generator | edfb8c64eeaa3145d1685543ffeac6655226948c | 2020-12-01T03:38:27.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Parth | null | Parth/mT5-question-generator | 43 | 1 | transformers | 6,285 | from transformers import MT5ForConditionalGeneration, AutoTokenizer
model = MT5ForConditionalGeneration.from_pretrained("Parth/mT5-question-generator")
tokenizer = AutoTokenizer.from_pretrained("google/mt5-base")
|
SEBIS/code_trans_t5_small_source_code_summarization_python_multitask | 103a1f50aeff7d86f3bf511a0e0c2e1bc3f54254 | 2021-06-23T10:22:36.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_small_source_code_summarization_python_multitask | 43 | null | transformers | 6,286 | ---
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... |
Salesforce/cods-bart-large-xsum-samsum | a75efe63433e044cc825ab443df830bc6f336d9c | 2021-06-09T19:39:19.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Salesforce | null | Salesforce/cods-bart-large-xsum-samsum | 43 | null | transformers | 6,287 | Entry not found |
Wellcome/WellcomeBertMesh | 759213419542e6324a586c4617284f673b85dd84 | 2022-03-23T09:44:03.000Z | [
"pytorch",
"bert",
"transformers",
"license:apache-2.0"
] | null | false | Wellcome | null | Wellcome/WellcomeBertMesh | 43 | 1 | transformers | 6,288 | ---
license: apache-2.0
---
# WellcomeBertMesh
WellcomeBertMesh is build from the data science team at the WellcomeTrust to tag biomedical grants with Medical Subject Headings ([Mesh](https://www.nlm.nih.gov/mesh/meshhome.html)). Even though developed with the intention to be used towards research grants, it sh... |
Yehor/wav2vec2-xls-r-1b-uk-with-lm | f664c39a22ccf2676fc755d5cea76cdc60f2987a | 2022-07-30T07:01:27.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_7_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Yehor | null | Yehor/wav2vec2-xls-r-1b-uk-with-lm | 43 | 2 | transformers | 6,289 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_7_0
- robust-speech-event
- uk
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: wav2vec2-xls-r-1b-uk-with-lm
results:
- task:
name: Au... |
adresgezgini/Finetuned-SentiBERtr-Pos-Neg-Reviews | 68ed38d9958b2072ad853d3881363ad2ca168dbd | 2021-05-18T23:09:04.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | adresgezgini | null | adresgezgini/Finetuned-SentiBERtr-Pos-Neg-Reviews | 43 | null | transformers | 6,290 | Entry not found |
boda/ANER | 01f7765413dfb4a6dc9f951c87c6b292331a270f | 2021-12-15T10:46:27.000Z | [
"pytorch",
"bert",
"token-classification",
"ar",
"dataset:Fine-grained Arabic Named Entity Corpora",
"transformers",
"ner",
"Arabic-NER",
"autotrain_compatible"
] | token-classification | false | boda | null | boda/ANER | 43 | 2 | transformers | 6,291 | ---
language:
- ar
thumbnail: "url to a thumbnail used in social sharing"
tags:
- ner
- token-classification
- Arabic-NER
metrics:
- accuracy
- f1
- precision
- recall
widget:
- text: "النجم محمد صلاح لاعب المنتخب المصري يعيش في مصر بالتحديد من نجريج, الشرقية"
example_title: "Mohamed Salah"
... |
charsiu/zh_xlsr_fc_10ms | 2d274d10cce1dd66818c0706abbc4cc20d4ef710 | 2021-12-16T03:45:24.000Z | [
"pytorch",
"wav2vec2",
"transformers"
] | null | false | charsiu | null | charsiu/zh_xlsr_fc_10ms | 43 | 1 | transformers | 6,292 | Entry not found |
clue/roberta_chinese_pair_tiny | bf1f28361f6356199164e26546f90f978a4d4d54 | 2021-05-20T15:33:09.000Z | [
"pytorch",
"jax",
"roberta",
"transformers"
] | null | false | clue | null | clue/roberta_chinese_pair_tiny | 43 | null | transformers | 6,293 | Entry not found |
danielvasic/distilbert-wordnet-uncased | 68d805ce4d01a323eeb766d272ff4743bef5bced | 2022-02-02T12:12:34.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | danielvasic | null | danielvasic/distilbert-wordnet-uncased | 43 | null | transformers | 6,294 | Entry not found |
facebook/wav2vec2-xls-r-2b-en-to-15 | 0a89612b925bd8a84e47376e6012527b26cbeae2 | 2022-05-26T22:27:29.000Z | [
"pytorch",
"speech-encoder-decoder",
"automatic-speech-recognition",
"multilingual",
"en",
"de",
"tr",
"fa",
"sv",
"mn",
"zh",
"cy",
"ca",
"sl",
"et",
"id",
"ar",
"ta",
"lv",
"ja",
"dataset:common_voice",
"dataset:multilingual_librispeech",
"dataset:covost2",
"arxiv:211... | automatic-speech-recognition | false | facebook | null | facebook/wav2vec2-xls-r-2b-en-to-15 | 43 | null | transformers | 6,295 | ---
language:
- multilingual
- en
- de
- tr
- fa
- sv
- mn
- zh
- cy
- ca
- sl
- et
- id
- ar
- ta
- lv
- ja
datasets:
- common_voice
- multilingual_librispeech
- covost2
tags:
- speech
- xls_r
- automatic-speech-recognition
- xls_r_translation
pipeline_tag: automatic-speech-recognition
license: apache-2.0
widget:
- e... |
flax-sentence-embeddings/all_datasets_v4_mpnet-base | 9d3c8ee6b0998d705f546e83d668d30397e1feea | 2021-07-23T15:55:37.000Z | [
"pytorch",
"mpnet",
"fill-mask",
"en",
"arxiv:2104.08727",
"arxiv:1810.09305",
"arxiv:2102.07033",
"arxiv:1904.06472",
"sentence-transformers",
"feature-extraction",
"sentence-similarity"
] | sentence-similarity | false | flax-sentence-embeddings | null | flax-sentence-embeddings/all_datasets_v4_mpnet-base | 43 | 4 | sentence-transformers | 6,296 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
---
# Model description
The project aims to train sentence embedding models on very large sentence level datasets using a self-supervised
contrastive learning objective. We used the pretrained ... |
fractalego/personal-speech-to-text-model | 396a3cd0f869b651960706ac55a4e4cd3d4525f5 | 2022-02-06T22:32:50.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | fractalego | null | fractalego/personal-speech-to-text-model | 43 | null | transformers | 6,297 | # Personal speech to text model
s2t models often do not understand my accent, so I fine tuned this one from "facebook/wav2vec2-large-robust-ft-swbd-300h" using about 1000 recordings of my voice.
Do not download unless you have exactly my accent. |
huggingartists/big-russian-boss | d454e936b11d812d1387a22a031128ccad55fcdf | 2021-09-15T16:41:55.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/big-russian-boss",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/big-russian-boss | 43 | 1 | transformers | 6,298 | ---
language: en
datasets:
- huggingartists/big-russian-boss
tags:
- huggingartists
- lyrics
- lm-head
- causal-lm
widget:
- text: "I am"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px;... |
jpwahle/longformer-base-plagiarism-detection | 839f2e3cd2aa338cb8c667c1eb6728b868ff8275 | 2021-11-02T15:20:34.000Z | [
"pytorch",
"longformer",
"text-classification",
"ISO 639-1 code for your language, or `multilingual`",
"dataset:array of dataset identifiers",
"arxiv:2004.05150",
"transformers",
"array",
"of",
"tags"
] | text-classification | false | jpwahle | null | jpwahle/longformer-base-plagiarism-detection | 43 | 1 | transformers | 6,299 | ---
language: ISO 639-1 code for your language, or `multilingual`
thumbnail: url to a thumbnail used in social sharing
tags:
- array
- of
- tags
datasets:
- array of dataset identifiers
metrics:
- array of metric identifiers
widget:
- text: Plagiarism is the representation of another author's writing, thoughts, ideas,
... |
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