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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zaib/Vulnerability-detection | 429d6167e1c00b8490310d27352aac652daba00e | 2022-07-16T11:03:58.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | Zaib | null | Zaib/Vulnerability-detection | 28 | null | transformers | 7,400 | ---
tags:
- generated_from_trainer
model-index:
- name: Vulnerability-detection
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. -->
# Vulnerability-detection
This m... |
tokeron/alephbert-finetuned-metaphor-detection | 9aeee9b43ff977a9d131d2609bbda881205cab0a | 2022-07-20T09:21:13.000Z | [
"pytorch",
"bert",
"token-classification",
"he",
"dataset:Piyutim",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | token-classification | false | tokeron | null | tokeron/alephbert-finetuned-metaphor-detection | 28 | null | transformers | 7,401 | ---
license: afl-3.0
language:
- he
tags:
- token-classification
datasets:
- Piyutim
model:
- onlplab/alephbert-base
metrics:
- f1
widget:
- text: "נשבר לי הגב"
example_title: "Broken back"
- text: "ש לו לב זהב"
example_title: "Golden heart"
---
This is a token-classification model.
This model is AlephBert fin... |
Be-Lo/xtremedistil-l6-h256-uncased-natural-questions-short | 89eaf5c1247e3b1d007ab9053175f795ab468bcf | 2022-07-22T17:23:04.000Z | [
"pytorch",
"bert",
"question-answering",
"en",
"transformers",
"natural-questions-short",
"license:mit",
"autotrain_compatible"
] | question-answering | false | Be-Lo | null | Be-Lo/xtremedistil-l6-h256-uncased-natural-questions-short | 28 | null | transformers | 7,402 | ---
language: en
tags:
- natural-questions-short
- question-answering
license: mit
---
# xtremedistil-l6-h256-uncased for QA
This is a [xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) model, fine-tuned using the [NaturalQuestionsShort](https://research.google/pubs/pub4776... |
anonchickenlegs/sartoshi-bot | 19b5727d5b7f4399fe4997a9797c3b7125504350 | 2022-07-23T02:20:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | anonchickenlegs | null | anonchickenlegs/sartoshi-bot | 28 | null | transformers | 7,403 | ---
tags:
- conversational
---
|
sudo-s/modeversion2_m7_e8 | ef4c745f10e424c2ad13ce3280cc0d1d2cac0469 | 2022-07-24T19:34:08.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | sudo-s | null | sudo-s/modeversion2_m7_e8 | 28 | null | transformers | 7,404 | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: modeversion2_m7_e8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then r... |
thu-coai/EVA2.0-base | 5e560e37d230fee015571a8cbacc0bdbf70463e5 | 2022-07-25T03:50:58.000Z | [
"pytorch",
"zh",
"arxiv:2108.01547",
"arxiv:2203.09313",
"transformers",
"license:mit"
] | null | false | thu-coai | null | thu-coai/EVA2.0-base | 28 | null | transformers | 7,405 | ---
language: zh
tags:
- pytorch
license: mit
---
# EVA
## Model Description
EVA is the largest open-source Chinese dialogue model with up to 2.8B parameters. The 1.0 version model is pre-trained on [WudaoCorpus-Dialog](https://resource.wudaoai.cn/home), and the 2.0 version is pre-trained on a carefully cleaned ver... |
Yuetian/T5-finetuned-storyCommonsense | bb62c9d47bdd2d8feaf6370fa5f2c9d18bea5bc9 | 2022-07-28T02:17:53.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | Yuetian | null | Yuetian/T5-finetuned-storyCommonsense | 28 | null | transformers | 7,406 | ---
license: mit
---
|
wiselinjayajos/t5-end2end-questions-generation-cvqualtrics-squad-V1 | e58afb83431cbea25eeb092b011a040ef7fd6ced | 2022-07-28T06:56:16.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | wiselinjayajos | null | wiselinjayajos/t5-end2end-questions-generation-cvqualtrics-squad-V1 | 28 | null | transformers | 7,407 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-end2end-questions-generation-cvqualtrics-squad-V1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... |
SharpAI/mal_tls-bert-base-w8a8 | 89dc967a2e47be6711447d0682c3e530174ac3d8 | 2022-07-28T06:40:11.000Z | [
"pytorch",
"tf",
"bert",
"text-classification",
"transformers",
"generated_from_keras_callback",
"model-index"
] | text-classification | false | SharpAI | null | SharpAI/mal_tls-bert-base-w8a8 | 28 | null | transformers | 7,408 | ---
tags:
- generated_from_keras_callback
model-index:
- name: mal_tls-bert-base-w8a8
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. -->
# mal_tls-bert-base-w8a8
This mo... |
BigSalmon/MrLincoln3 | c5ab836cbfdb585fef096e44eb7250e7f6364435 | 2021-11-18T23:30:03.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/MrLincoln3 | 27 | null | transformers | 7,409 | Entry not found |
Elron/bleurt-large-128 | 17bb269ba6cede0f50f3831f444fdb7222147ceb | 2021-10-04T13:21:56.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Elron | null | Elron/bleurt-large-128 | 27 | 1 | transformers | 7,410 | \n## BLEURT
Pytorch version of the original BLEURT models from ACL paper ["BLEURT: Learning Robust Metrics for Text Generation"](https://aclanthology.org/2020.acl-main.704/) by
Thibault Sellam, Dipanjan Das and Ankur P. Parikh of Google Research.
The code for model conversion was originated from [this notebook](http... |
GKLMIP/bert-khmer-small-uncased | fe6017da32090699c8c115f17f4258ca6d5e495b | 2021-07-31T04:46:38.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | GKLMIP | null | GKLMIP/bert-khmer-small-uncased | 27 | null | transformers | 7,411 | https://github.com/GKLMIP/Pretrained-Models-For-Khmer
If you use our model, please consider citing our paper:
```
@article{,
author="Jiang, Shengyi
and Fu, Sihui
and Lin, Nankai
and Fu, Yingwen",
title="Pre-trained Models and Evaluation Data for the Khmer Language",
year="2021",
publisher="Tsinghua Science and Technol... |
GroNLP/gpt2-small-dutch-embeddings | 845a4c7cdae998c888f6ed5932a0a2a1732d0104 | 2021-05-21T09:54:45.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"nl",
"arxiv:2012.05628",
"transformers",
"adaption",
"recycled",
"gpt2-small"
] | text-generation | false | GroNLP | null | GroNLP/gpt2-small-dutch-embeddings | 27 | null | transformers | 7,412 | ---
language: nl
tags:
- adaption
- recycled
- gpt2-small
pipeline_tag: text-generation
---
# GPT-2 recycled for Dutch (small, adapted lexical embeddings)
[Wietse de Vries](https://www.semanticscholar.org/author/Wietse-de-Vries/144611157) •
[Malvina Nissim](https://www.semanticscholar.org/author/M.-Nissim/2742475)
##... |
Helsinki-NLP/opus-mt-en-ht | d90d52dc58d651b41475d5837f670b411150be90 | 2021-09-09T21:36:01.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ht",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-ht | 27 | null | transformers | 7,413 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-ht
* source languages: en
* target languages: ht
* OPUS readme: [en-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ht/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-et-fr | 7bc1a38b3451bb731b5f4e0b3a2a04df5aca9618 | 2021-09-09T21:46:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"et",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-et-fr | 27 | null | transformers | 7,414 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-et-fr
* source languages: et
* target languages: fr
* OPUS readme: [et-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/et-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
KoichiYasuoka/roberta-base-thai-spm-upos | c7d621d5ca774b438a464aaef15fba17f1a91a02 | 2022-04-12T10:29:52.000Z | [
"pytorch",
"roberta",
"token-classification",
"th",
"dataset:universal_dependencies",
"transformers",
"thai",
"pos",
"wikipedia",
"dependency-parsing",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/roberta-base-thai-spm-upos | 27 | null | transformers | 7,415 | ---
language:
- "th"
tags:
- "thai"
- "token-classification"
- "pos"
- "wikipedia"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
widget:
- text: "หลายหัวดีกว่าหัวเดียว"
---
# roberta-base-thai-spm-upos
## Model Description
This is a RoBERTa mod... |
Maha/hi-const21-hibert_final | 0d143967c20d19c5a57787ebe898ed100ed55b9c | 2022-02-23T10:31:55.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Maha | null | Maha/hi-const21-hibert_final | 27 | null | transformers | 7,416 | Entry not found |
Nhut/wav2vec2-large-xlsr-vietnamese | e58b08cf2c973426134a0ccf0c626aa5d8bf4018 | 2021-07-05T16:30:29.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"vi",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Nhut | null | Nhut/wav2vec2-large-xlsr-vietnamese | 27 | null | transformers | 7,417 | ---
language: vi
datasets:
- common_voice
- FOSD: https://data.mendeley.com/datasets/k9sxg2twv4/4
- VIVOS: https://ailab.hcmus.edu.vn/vivos
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Vietnamese by Nhut
results:
... |
SEBIS/code_trans_t5_base_source_code_summarization_python_transfer_learning_finetune | 79c990003500c7e804b84ab057fed663b4f57711 | 2021-06-23T05:25:27.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_source_code_summarization_python_transfer_learning_finetune | 27 | null | transformers | 7,418 | ---
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... |
Sakonii/distilbert-base-nepali | 723fe4e63deb67d14412ee69ba0f9daddd8c752a | 2022-03-11T12:47:18.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"arxiv:1911.02116",
"arxiv:1910.01108",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Sakonii | null | Sakonii/distilbert-base-nepali | 27 | null | transformers | 7,419 | ---
license: apache-2.0
mask_token: "<mask>"
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-nepali
results: []
widget:
- text: "मानविय गतिविधिले प्रातृतिक पर्यावरन प्रनालीलाई अपरिमेय क्षति पु्र्याएको छ। परिवर्तनशिल जलवायुले खाध, सुरक्षा, <mask>, जमिन, मौसमलगायतलाई असंख्य तरिकाले प्रभावित छ।"
ex... |
Salesforce/qaconv-unifiedqa-t5-large | cfd08ce057a509a850fe14089ea828bc5e19c1d9 | 2021-06-23T10:18:29.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Salesforce | null | Salesforce/qaconv-unifiedqa-t5-large | 27 | null | transformers | 7,420 | Entry not found |
Tsubasaz/clinical-bert-base-128 | 10c960ca02dfaf6a4193506555adbe79f3ea7150 | 2022-02-21T11:31:51.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Tsubasaz | null | Tsubasaz/clinical-bert-base-128 | 27 | null | transformers | 7,421 | Entry not found |
antoiloui/netbert | 61624e3baf1b266be5b09c29948386f5c907cb6e | 2021-05-18T23:44:04.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"en",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | antoiloui | null | antoiloui/netbert | 27 | null | transformers | 7,422 | ---
language:
- en
license:
- mit
widget:
- text: "The nodes of a computer network may include [MASK]."
---
# NetBERT 📶
**A BERT-base model pre-trained on a huge corpus of computer networking text (~23Gb)**.
## Usage
You can use NetBERT with [🤗 transformers](https://github.com/huggingface/transformers):
```python... |
boychaboy/SNLI_roberta-base | 7c713cc2acbb5c9650fe40582b16a2b100f54ab6 | 2021-05-20T14:36:00.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | boychaboy | null | boychaboy/SNLI_roberta-base | 27 | null | transformers | 7,423 | Entry not found |
cahya/bert-base-indonesian-tydiqa | 6f300216201f1b4942633329b0ba5e7511dfe61e | 2021-05-19T13:41:43.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | cahya | null | cahya/bert-base-indonesian-tydiqa | 27 | null | transformers | 7,424 | Entry not found |
cointegrated/rubert-base-lesha17-punctuation | eb42c9c9b3d20885594e19b11171af21aa54ec9d | 2021-11-15T07:36:53.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | cointegrated | null | cointegrated/rubert-base-lesha17-punctuation | 27 | 1 | transformers | 7,425 | The model for https://github.com/Lesha17/Punctuation; all credits go to the owner of this repository. |
facebook/convnext-large-224-22k-1k | 3f11dd4165e438cea1d06e923416fc7c29917d05 | 2022-02-26T12:21:11.000Z | [
"pytorch",
"tf",
"convnext",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2201.03545",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | facebook | null | facebook/convnext-large-224-22k-1k | 27 | null | transformers | 7,426 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-21k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: http... |
facebook/wav2vec2-base-fr-voxpopuli | 93a9c011832d9559627bd4402fd7740ca966626d | 2021-07-06T01:54:24.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"fr",
"arxiv:2101.00390",
"transformers",
"audio",
"automatic-speech-recognition",
"voxpopuli",
"license:cc-by-nc-4.0"
] | automatic-speech-recognition | false | facebook | null | facebook/wav2vec2-base-fr-voxpopuli | 27 | null | transformers | 7,427 | ---
language: fr
tags:
- audio
- automatic-speech-recognition
- voxpopuli
license: cc-by-nc-4.0
---
# Wav2Vec2-Base-VoxPopuli
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) base model pretrained on the fr unlabeled subset of [VoxPopuli corpus](https://a... |
flax-community/roberta-base-mr | 64d2c745f264f09c3d5b678a718746b2613887db | 2021-07-17T15:30:40.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"arxiv:1907.11692",
"transformers",
"autotrain_compatible"
] | fill-mask | false | flax-community | null | flax-community/roberta-base-mr | 27 | 1 | transformers | 7,428 | ---
widget:
- text: "अध्यक्ष <mask> पवार आणि उपमुख्यमंत्री अजित पवार यांची भेट घेतली."
- text: "मोठी बातमी! उद्या दुपारी <mask> वाजता जाहीर होणार दहावीचा निकाल"
---
# RoBERTa base model for Marathi language (मराठी भाषा)
Pretrained model on Marathi language using a masked language modeling (MLM) objective. RoBER... |
genggui001/chinese_roberta_wwm_large_ext_fix_mlm | 9fbeb205b3d1a5c522b6d9e2243f7eb485689dee | 2021-11-05T08:28:59.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | genggui001 | null | genggui001/chinese_roberta_wwm_large_ext_fix_mlm | 27 | 1 | transformers | 7,429 | ---
language:
- zh
tags:
- bert
license: "apache-2.0"
---
# Please use 'Bert' related functions to load this model!
## Chinese BERT with Whole Word Masking Fix MLM Parameters
Init parameters by https://huggingface.co/hfl/chinese-roberta-wwm-ext-large
miss mlm parameters issue https://github.com/ymcui/Chinese-BERT-w... |
gurkan08/turkish-product-comment-sentiment-classification | 5ad35337c1346b6389f59084a615c04333ac2bff | 2021-05-19T17:53:17.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | gurkan08 | null | gurkan08/turkish-product-comment-sentiment-classification | 27 | null | transformers | 7,430 | Entry not found |
howey/electra-large-sst2 | 1503cf43cc086149796684ba6e266b0c4e4907d2 | 2021-06-04T06:39:18.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | howey | null | howey/electra-large-sst2 | 27 | null | transformers | 7,431 | Entry not found |
howey/roberta-large-cola | 6ab505e7ac0d09b6034435a0147ab5a6c0d4a7e4 | 2021-06-03T11:38:38.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | howey | null | howey/roberta-large-cola | 27 | null | transformers | 7,432 | Entry not found |
huggingtweets/footy_headlines | eb647fbe208daba06c955aacff45932a5a42fb3b | 2021-05-22T04:25:53.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/footy_headlines | 27 | null | transformers | 7,433 | ---
language: en
thumbnail: https://www.huggingtweets.com/footy_headlines/1606774412916/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/visualizevalue | 94506966acee36155d2386888bfd4ba3e47625f2 | 2021-05-23T04:00:21.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/visualizevalue | 27 | null | transformers | 7,434 | ---
language: en
thumbnail: https://www.huggingtweets.com/visualizevalue/1601837796274/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 {... |
ivanlau/wav2vec2-large-xls-r-300m-cantonese | 7410716ea687c66aeb39b9329f475c90686495ed | 2022-03-23T18:26:09.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"zh-HK",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ivanlau | null | ivanlau/wav2vec2-large-xls-r-300m-cantonese | 27 | 1 | transformers | 7,435 | ---
language:
- zh-HK
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
- zh-HK
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-300M - Chinese_HongKong (Cantonese)
results:
- t... |
kuppuluri/telugu_bertu_pos | 6013732101026333f2622a09fc9cf50d9ff86669 | 2021-12-02T18:15:36.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | kuppuluri | null | kuppuluri/telugu_bertu_pos | 27 | null | transformers | 7,436 | # Part of Speech tagging Model for Telugu
#### How to use
Use the below script from your python terminal as the web interface for inference has few encoding issues for Telugu
PS: If you find my model useful, I would appreciate a note from you as it would encourage me to continue improving it and also add new models.
... |
liam168/chat-DialoGPT-small-en | 6bbc984a0d393397284e0fa9981fbfe8ff5f32e9 | 2021-08-03T10:25:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"license:apache-2.0"
] | text-generation | false | liam168 | null | liam168/chat-DialoGPT-small-en | 27 | null | transformers | 7,437 | ---
language: en
widget:
- text: "I got a surprise for you, Morty."
license: apache-2.0
---
# liam168/chat-DialoGPT-small-en
## Model description
用英文聊天数据训练的模型；
### How to use
Now we are ready to try out how the model works as a chatting partner!
```python
from transformers import AutoModelForCausalLM, AutoToken... |
ml6team/gpt2-small-dutch-finetune-oscar | 5fc680102b653316458392529a84c38f547a2840 | 2021-05-23T09:47:18.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"nl",
"transformers",
"adaption",
"recycled",
"gpt2-small"
] | text-generation | false | ml6team | null | ml6team/gpt2-small-dutch-finetune-oscar | 27 | 6 | transformers | 7,438 | ---
language: nl
widget:
- text: "De regering heeft beslist dat"
tags:
- adaption
- recycled
- gpt2-small
pipeline_tag: text-generation
---
# Dutch finetuned GPT2
|
mmcquade11/reviews-sentiment-analysis-two | da35de328541eb143c83f51edb901609d84f6d61 | 2021-12-02T17:31:19.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | mmcquade11 | null | mmcquade11/reviews-sentiment-analysis-two | 27 | null | transformers | 7,439 | Entry not found |
mmm-da/anekdot_funny1_rugpt3Small | 3ea216a3b11bdedf33dac080a455de7190766e66 | 2021-05-23T09:49:50.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | mmm-da | null | mmm-da/anekdot_funny1_rugpt3Small | 27 | null | transformers | 7,440 | Entry not found |
murathankurfali/bert-large-uncased-pdtb2-explicit-four-way | 789a54af5f0f25c086b5cdc311de6ec57c7ce902 | 2021-07-01T19:47:49.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | murathankurfali | null | murathankurfali/bert-large-uncased-pdtb2-explicit-four-way | 27 | null | transformers | 7,441 | Entry not found |
nateraw/timm-resnet50-beans | 5fab928ecf08198e592f4b893465eae8dcbe0230 | 2021-09-07T17:21:50.000Z | [
"pytorch",
"timm",
"image-classification"
] | image-classification | false | nateraw | null | nateraw/timm-resnet50-beans | 27 | 1 | timm | 7,442 | ---
tags:
- image-classification
- timm
library_tag: timm
---
# Model card for `timm-resnet50-beans`
**TODO**
**For now, try dragging and dropping this image into the inference widget. It should classify as angular_leaf_spot.**
|
navteca/quora-roberta-large | 6c13fabe049c2f14a94e56a588523036e4680a14 | 2021-03-10T14:57:04.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"en",
"dataset:quora",
"transformers",
"license:mit"
] | text-classification | false | navteca | null | navteca/quora-roberta-large | 27 | null | transformers | 7,443 | ---
datasets:
- quora
language: en
license: mit
pipeline_tag: text-classification
tags:
- roberta
- text-classification
---
# Cross-Encoder for Quora Duplicate Questions Detection
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-en... |
peril10/Pypinion | 060f2f2ed8cd5b9c8850079d5a9bfba7cbc52267 | 2021-05-20T19:26:01.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | peril10 | null | peril10/Pypinion | 27 | null | transformers | 7,444 | Entry not found |
persiannlp/mt5-large-parsinlu-squad-reading-comprehension | 4563f098fcd8bd51bc25bf6b6a6a8bf77b62be62 | 2021-09-23T16:20:26.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"fa",
"multilingual",
"dataset:parsinlu",
"dataset:squad",
"transformers",
"reading-comprehension",
"persian",
"farsi",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible"
] | text2text-generation | false | persiannlp | null | persiannlp/mt5-large-parsinlu-squad-reading-comprehension | 27 | null | transformers | 7,445 |
---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- reading-comprehension
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
- squad
metrics:
- f1
---
# Reading Comprehension (مدل برای پاسخ به درک مطلب)
This is a mT5-based model for read... |
rsedlr/RickBot | c7fad89f497874b323bd18131aa8f864574a3874 | 2021-08-12T08:26:21.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | rsedlr | null | rsedlr/RickBot | 27 | 2 | transformers | 7,446 | ---
tags:
- conversational
---
# DialoGPT-small model trained on dialogue from Rick and Morty
### [Chat to me on Chai!](https://chai.ml/chat/share/_bot_de374c84-9598-4848-996b-736d0cc02f6b)
Make your own Rick bot [here](https://colab.research.google.com/drive/1o5LxBspm-C28HQvXN-PRQavapDbm5WjG?usp=sharing) |
s3h/gec-token-classification-arabert-v2 | 0fa4a65524bb1a23ba8463fd73a492c90789d090 | 2022-01-05T20:12:34.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | s3h | null | s3h/gec-token-classification-arabert-v2 | 27 | null | transformers | 7,447 | Entry not found |
sammy786/wav2vec2-xlsr-dhivehi | 14770c37461b4ffdba3e95b2f2f83d67d414e3af | 2022-03-24T11:58:38.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dv",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | sammy786 | null | sammy786/wav2vec2-xlsr-dhivehi | 27 | null | transformers | 7,448 | ---
language:
- dv
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- dv
- robust-speech-event
- model_for_talk
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: sammy786/wav2vec2-xlsr-dhivehi
results:
- t... |
speechbrain/REAL-M-sisnr-estimator | 7308f2f4d0390ee68a31be850d685a323e891b01 | 2021-11-03T21:32:48.000Z | [
"en",
"dataset:REAL-M",
"dataset:WHAMR!",
"arxiv:2110.10812",
"arxiv:2106.04624",
"speechbrain",
"audio-source-separation",
"Source Separation",
"Speech Separation",
"WHAM!",
"REAL-M",
"SepFormer",
"Transformer",
"pytorch",
"license:apache-2.0"
] | null | false | speechbrain | null | speechbrain/REAL-M-sisnr-estimator | 27 | 1 | speechbrain | 7,449 | ---
language: "en"
thumbnail:
tags:
- audio-source-separation
- Source Separation
- Speech Separation
- WHAM!
- REAL-M
- SepFormer
- Transformer
- pytorch
- speechbrain
license: "apache-2.0"
datasets:
- REAL-M
- WHAMR!
metrics:
- SI-SNRi
---
<iframe src="https://ghbtns.com/github-btn.html?user=speec... |
sultan/BioM-ALBERT-xxlarge-SQuAD2 | 71d586c571c68eaad6e1c994b557a2b1643f7e1d | 2021-08-10T21:59:59.000Z | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | sultan | null | sultan/BioM-ALBERT-xxlarge-SQuAD2 | 27 | null | transformers | 7,450 | # BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
# Abstract
The impact of design choices on the performance
of biomedical language models recently
has been a subject for investigation. In
this paper, we empirically study biomedical
domain adaptation with large transformer m... |
sunhao666/chi-sum2 | 64c440c9492feeab310f49034427c35da46c209a | 2021-05-20T04:01:09.000Z | [
"pytorch",
"t5",
"feature-extraction",
"transformers"
] | feature-extraction | false | sunhao666 | null | sunhao666/chi-sum2 | 27 | null | transformers | 7,451 | Entry not found |
testing/autonlp-ingredient_sentiment_analysis-19126711 | 0e0b457a8d5a22c1801d966612513a68de076390 | 2021-11-04T15:54:28.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:testing/autonlp-data-ingredient_sentiment_analysis",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | token-classification | false | testing | null | testing/autonlp-ingredient_sentiment_analysis-19126711 | 27 | null | transformers | 7,452 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- testing/autonlp-data-ingredient_sentiment_analysis
co2_eq_emissions: 1.8458289701133035
---
# Model Trained Using AutoNLP
- Problem type: Entity Extraction
- Model ID: 19126711
- CO2 Emissions (in grams): 1.8458289701133035
## Validation ... |
textattack/roberta-base-rotten_tomatoes | 6cc7e32fb4fd5113a9b164cf045bda1fbb5c847f | 2021-05-20T22:18:23.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | textattack | null | textattack/roberta-base-rotten_tomatoes | 27 | null | transformers | 7,453 | ## roberta-base fine-tuned with TextAttack on the rotten_tomatoes dataset
This `roberta-base` model was fine-tuned for sequence classificationusing TextAttack
and the rotten_tomatoes dataset loaded using the `nlp` library. The model was fine-tuned
for 10 epochs with a batch size of 128, a learning
... |
textattack/xlnet-base-cased-WNLI | 7ae8ccdb868bfe9abbf9a558ab6f583145f4afd6 | 2020-07-06T16:34:15.000Z | [
"pytorch",
"xlnet",
"text-generation",
"transformers"
] | text-generation | false | textattack | null | textattack/xlnet-base-cased-WNLI | 27 | null | transformers | 7,454 | ## TextAttack Model Card
This `xlnet-base-cased` model was fine-tuned for sequence classification using TextAttack
and the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 16, a learning
rate of 3e-05, and a maximum sequence length of 256.
Since this was a clas... |
mitiku/AmharicWICPostag | 8af009903b374642b1816ba76922ada07fa760d2 | 2022-03-20T10:10:58.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | mitiku | null | mitiku/AmharicWICPostag | 27 | null | transformers | 7,455 | ---
tags:
- generated_from_trainer
model-index:
- name: AmharicWICPostag
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. -->
# AmharicWICPostag
This model was train... |
abidlabs/speech-text | 7f0faf15157695f3878372ae93381ae9c24ab662 | 2022-03-23T18:33:30.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"en",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"transformers",
"audio",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"lice... | automatic-speech-recognition | false | abidlabs | null | abidlabs/speech-text | 27 | null | transformers | 7,456 | ---
language: en
datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- en
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- robust-speech-event
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 ... |
Ensheng/graphcodebert-v1 | 99020eb25b0e7c08f757fc3747b6e013ebdd82fe | 2022-03-10T08:32:36.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Ensheng | null | Ensheng/graphcodebert-v1 | 27 | null | transformers | 7,457 | Entry not found |
ai4bharat/MultiIndicQuestionGenerationSS | 508601d8c29ba2b6165df2aca994863f0851320b | 2022-05-23T17:19:03.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"as",
"bn",
"gu",
"hi",
"kn",
"ml",
"mr",
"or",
"pa",
"ta",
"te",
"dataset:ai4bharat/IndicQuestionGeneration",
"dataset:squad",
"arxiv:2203.05437",
"transformers",
"question-generation",
"multilingual",
"nlp",
"indicnlp",
"autot... | text2text-generation | false | ai4bharat | null | ai4bharat/MultiIndicQuestionGenerationSS | 27 | 1 | transformers | 7,458 | ---
tags:
- question-generation
- multilingual
- nlp
- indicnlp
datasets:
- ai4bharat/IndicQuestionGeneration
- squad
language:
- as
- bn
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
licenses:
- cc-by-nc-4.0
---
# MultiIndicQuestionGenerationSS
MultiIndicQuestionGenerationSS is a multilingual, sequence-to-sequence ... |
krinal214/xlm-all | 700921a0c6c3609e8cfbc94ace7728a4f4415bdb | 2022-03-16T13:01:05.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"dataset:tydiqa",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | krinal214 | null | krinal214/xlm-all | 27 | null | transformers | 7,459 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- tydiqa
model-index:
- name: xlm-all-final
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-all-f... |
Visual-Attention-Network/van-tiny | dda753ad7f885157a796d5347318a2244c33e4f3 | 2022-03-31T12:45:47.000Z | [
"pytorch",
"van",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2202.09741",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | Visual-Attention-Network | null | Visual-Attention-Network/van-tiny | 27 | null | transformers | 7,460 | ---
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... |
joangog/pwmfd-yolov5 | 2261475efc2ab2bd5193fc77a8b7f1e911e9d5de | 2022-07-10T12:16:29.000Z | [
"pytorch",
"tensorboard",
"en",
"dataset:pwmfd",
"transformers",
"yolov5"
] | null | false | joangog | null | joangog/pwmfd-yolov5 | 27 | 0 | transformers | 7,461 | ---
language:
- en
tags:
- pytorch
- yolov5
datasets:
- pwmfd
metrics:
- coco
---
Optimized YOLOv5 model trained on the PWMFD medical masks dataset using transfer learning from COCO with frozen backbone, data augmentations such as mosaic, and an input image size of 320 x 320.
**Architecture:** [here](https://hugging... |
pere/multi-sentencefix-mt5-large | 150fbd580463db2664022f879ef6cf3ade1acb3e | 2022-06-08T17:06:33.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"no",
"transformers",
"translation",
"license:cc-by-4.0",
"autotrain_compatible"
] | translation | false | pere | null | pere/multi-sentencefix-mt5-large | 27 | 2 | transformers | 7,462 | ---
language: no
tags:
- translation
widget:
- text: "moscow says deployments in eastern europe increase tensions at the same time nato says russia has moved troops to belarus"
- text: "dette er en liten test som er laget av per egil kummervold han er en forsker som tidligere jobbet ved nasjonalbiblioteket"
- text: "ti... |
bipin/image-caption-generator | fb824de608c028d19bb71c4c43b335cab0f20219 | 2022-03-31T10:39:40.000Z | [
"pytorch",
"vision-encoder-decoder",
"transformers",
"image-captioning",
"image-to-text",
"model-index"
] | image-to-text | false | bipin | null | bipin/image-caption-generator | 27 | 2 | transformers | 7,463 | ---
tags:
- image-captioning
- image-to-text
model-index:
- name: image-caption-generator
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# image-caption-generat... |
hackathon-pln-es/Detect-Acoso-Twitter-Es | 7a78841b3867be174e23a2bcac9e4cc3c393883c | 2022-03-30T23:56:25.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"es",
"dataset:hackathon-pln-es/Dataset-Acoso-Twitter-Es",
"transformers",
"generated_from_trainer",
"acoso",
"twitter",
"cyberbullying",
"license:apache-2.0",
"model-index"
] | text-classification | false | hackathon-pln-es | null | hackathon-pln-es/Detect-Acoso-Twitter-Es | 27 | 4 | transformers | 7,464 | ---
license: apache-2.0
language: "es"
tags:
- generated_from_trainer
- es
- text-classification
- acoso
- twitter
- cyberbullying
datasets:
- hackathon-pln-es/Dataset-Acoso-Twitter-Es
widget:
- text: "Que horrible como la farándula chilena siempre se encargaba de dejar mal a las mujeres. Un asco"
- text: "Hay que ser... |
McGill-NLP/bart-qg-mlquestions-backtraining | 84305dbb0141149fba691d6804e682c8be1d68ef | 2022-04-08T17:02:56.000Z | [
"pytorch",
"bart",
"text2text-generation",
"arxiv:1910.13461",
"arxiv:2104.08801",
"transformers",
"license:cc-by-4.0",
"autotrain_compatible"
] | text2text-generation | false | McGill-NLP | null | McGill-NLP/bart-qg-mlquestions-backtraining | 27 | null | transformers | 7,465 | ---
license: cc-by-4.0
---
# BART-base fine-tuned on NaturalQuestions for **Question Generation**
[BART Model](https://arxiv.org/pdf/1910.13461.pdf) trained for Question Generation in an unsupervised manner using [Back-Training](https://arxiv.org/pdf/2104.08801.pdf) algorithm (Kulshreshtha et al, EMNLP 2021). The data... |
BFMeriem/chatbot-model | 85172e7e3adef5a2d85cfa2ec90c0a8e575c3f24 | 2022-04-18T05:16:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | BFMeriem | null | BFMeriem/chatbot-model | 27 | 1 | transformers | 7,466 | ---
tags:
- conversational
---
#Michael Scott Character Chatbot |
smeoni/nbme-deberta-V3-large | 0887786226e8e2afb85b4b220e906583040344e1 | 2022-04-19T14:22:48.000Z | [
"pytorch",
"deberta-v2",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | smeoni | null | smeoni/nbme-deberta-V3-large | 27 | null | transformers | 7,467 | Entry not found |
ELiRF/mt5-base-dacsa-ca | 378699aaf978689d242ba0140b16c953beda61ee | 2022-07-11T17:33:29.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"ca",
"arxiv:2010.11934",
"transformers",
"summarization",
"autotrain_compatible"
] | summarization | false | ELiRF | null | ELiRF/mt5-base-dacsa-ca | 27 | null | transformers | 7,468 | ---
language: ca
tags:
- summarization
widget:
- text: "La Universitat Politècnica de València (UPV), a través del projecte Atenea “plataforma de dones, art i tecnologia” i en col·laboració amb les companyies tecnològiques Metric Salad i Zetalab, ha digitalitzat i modelat en 3D per a la 35a edició del Festival Dansa ... |
Hate-speech-CNERG/bengali-abusive-MuRIL | afb4d3694dbaed80156e4e947cef6572d3759e4d | 2022-05-03T08:50:49.000Z | [
"pytorch",
"bert",
"text-classification",
"bn",
"arxiv:2204.12543",
"transformers",
"license:afl-3.0"
] | text-classification | false | Hate-speech-CNERG | null | Hate-speech-CNERG/bengali-abusive-MuRIL | 27 | null | transformers | 7,469 | ---
language: [bn]
license: afl-3.0
---
This model is used detecting **abusive speech** in **Bengali**. It is finetuned on MuRIL model using bengali abusive speech dataset.
The model is trained with learning rates of 2e-5. Training code can be found at this [url](https://github.com/hate-alert/IndicAbusive)
LABEL_0 :-... |
lilitket/aspram | b1646875d257de1e8325e01dbd0a5e5cff11c4fb | 2022-05-03T17:41:17.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | lilitket | null | lilitket/aspram | 27 | null | transformers | 7,470 | Entry not found |
allenai/mtk-instruct-3b-def-pos | a61092a4518022ceebc66aba0d86a68622764035 | 2022-05-27T06:29:55.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"multilingual",
"dataset:natural instructions v2.0",
"arxiv:1910.10683",
"arxiv:2204.07705",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | allenai | null | allenai/mtk-instruct-3b-def-pos | 27 | null | transformers | 7,471 | ---
language: multilingual
license: apache-2.0
datasets:
- natural instructions v2.0
---
# Model description
Tk-Instruct is a series of encoder-decoder Transformer models that are trained to solve various NLP tasks by following in-context instructions (plain language task definitions, k-shot examples, explanations, e... |
aiola/roberta-base-corener | a59295582117c3706c06aa707799dcd26fbab4ab | 2022-07-03T14:15:40.000Z | [
"pytorch",
"roberta",
"fill-mask",
"en",
"dataset:Ontonotes",
"dataset:CoNLL04",
"transformers",
"NER",
"named entity recognition",
"RE",
"relation extraction",
"entity mention detection",
"EMD",
"coreference resolution",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | aiola | null | aiola/roberta-base-corener | 27 | null | transformers | 7,472 | ---
language:
- en
tags:
- NER
- named entity recognition
- RE
- relation extraction
- entity mention detection
- EMD
- coreference resolution
license: apache-2.0
datasets:
- Ontonotes
- CoNLL04
---
# CoReNer
## Demo
We released an online demo so you can easily play with the model. Check it out: [http://corener-demo... |
charsiu/g2p_multilingual_mT5_small | 9aa1a3006e408f2420cb6a0b8ceac7768095ead9 | 2022-05-19T05:01:41.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | charsiu | null | charsiu/g2p_multilingual_mT5_small | 27 | null | transformers | 7,473 | Entry not found |
Matthijs/deeplabv3-mobilevit-small | 3489480174ccb992f903e63e380037c61d9da27e | 2022-05-24T11:35:51.000Z | [
"pytorch",
"coreml",
"mobilevit",
"dataset:pascal-voc",
"arxiv:2110.02178",
"arxiv:1706.05587",
"transformers",
"vision",
"image-segmentation",
"license:other"
] | image-segmentation | false | Matthijs | null | Matthijs/deeplabv3-mobilevit-small | 27 | 1 | transformers | 7,474 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- pascal-voc
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
---
# MobileViT + DeepLabV3 (small-sized model)
MobileViT model pre-trained on PASCAL VOC at resolution 512x512. It was introd... |
JeffreyLau/SikuGPT2 | 4220814c81e49ef1123795b8855a39c613579380 | 2022-07-10T01:30:07.000Z | [
"pytorch",
"gpt2",
"text-generation",
"zh",
"transformers"
] | text-generation | false | JeffreyLau | null | JeffreyLau/SikuGPT2 | 27 | 1 | transformers | 7,475 | ---
language: zh
widget:
- text: "當 是 時 "
- text: "子 曰 "
---
# SikuGPT2 Model
## Model description
The model is used to generate Chinese ancient article. You can download the model via HuggingFace from the link [SikuGPT2](https://huggingface.co/JeffreyLau/SikuGPT2).
Since the parameter skip_special_tokens is use... |
KamilAin/bart-base-booksum | 789ae1ed3e7e8da4ae759a7ab062f9afe907f04d | 2022-05-24T08:19:25.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:kmfoda/booksum",
"transformers",
"booksum",
"summary",
"summarization",
"book",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | false | KamilAin | null | KamilAin/bart-base-booksum | 27 | null | transformers | 7,476 | ---
language: en
license: apache-2.0
tags:
- booksum
- summary
- summarization
- book
metrics:
- rouge
widget:
- text: "In the dead night, Frodo lay in a dream without light. Then he saw the young moon rising; under its thin light there loomed before him a black wall of rock, pierced by a dark arch like a great gate. ... |
M47Labs/spanish_news_classification_headlines_untrained | 1105ed2f79d7bead889b8812dd0e9fd991c4fb38 | 2022-05-30T10:44:44.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | M47Labs | null | M47Labs/spanish_news_classification_headlines_untrained | 27 | null | transformers | 7,477 | ---
widget:
- text: "El dólar se dispara tras la reunión de la Fed"
---
# Spanish News Classification Headlines
SNCH: this model was developed by [M47Labs](https://www.m47labs.com/es/) the goal is text classification, the base model use was [BETO](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased), howev... |
projecte-aina/roberta-base-ca-v2 | 97e9d0f724fa61644f7f6972e4c19345c0dc4bb2 | 2022-07-25T06:55:23.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ca",
"transformers",
"catalan",
"masked-lm",
"RoBERTa-base-ca-v2",
"CaText",
"Catalan Textual Corpus",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | projecte-aina | null | projecte-aina/roberta-base-ca-v2 | 27 | null | transformers | 7,478 | ---
language:
- ca
license: apache-2.0
tags:
- "catalan"
- "masked-lm"
- "RoBERTa-base-ca-v2"
- "CaText"
- "Catalan Textual Corpus"
widget:
- text: "El Català és una llengua molt <mask>."
- text: "Salvador Dalí va viure a <mask>."
- text: "La Costa Brava té les millors <mask> d'Espanya."
- text: "El cacaolat é... |
titi7242229/roberta-base-bne-finetuned_personality_multi_2 | 68789c67db2f1d79227c752c3ec00ee570675d7d | 2022-06-11T06:21:27.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | titi7242229 | null | titi7242229/roberta-base-bne-finetuned_personality_multi_2 | 27 | null | transformers | 7,479 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned_personality_multi_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... |
ahmeddbahaa/mT5_multilingual_XLSum-finetune-ar-xlsum | 69531cb8276ee80c3d24f3d2a3025241d9ecb83f | 2022-06-13T19:20:20.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"mT5_multilingual_XLSum",
"abstractive summarization",
"ar",
"xlsum",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | ahmeddbahaa | null | ahmeddbahaa/mT5_multilingual_XLSum-finetune-ar-xlsum | 27 | null | transformers | 7,480 | ---
tags:
- summarization
- mT5_multilingual_XLSum
- mt5
- abstractive summarization
- ar
- xlsum
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mT5_multilingual_XLSum-finetune-ar-xlsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had... |
Mathking/pubmedbert-abs_pri-sec_out | c50df4d0e54b03886f15f1b4c76a80cd901bfb06 | 2022-07-19T09:44:30.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"transformers",
"medical-domain",
"fine-tuned",
"license:mit",
"autotrain_compatible"
] | token-classification | false | Mathking | null | Mathking/pubmedbert-abs_pri-sec_out | 27 | null | transformers | 7,481 | ---
language: en
tags:
- medical-domain
- fine-tuned
license: "mit"
metrics:
- f1
---
# PubMedBERT Abstract Primary and secondary outcomes
## Model description
PubMedBERT Model fine tuned for Primary and Secondary Outcomes Entity Extraction in Clinical Trials Articles
## Intended uses & limitations
### How to use... |
anablasi/lm_financial_v2 | 7289bcbd1edc01b7b116583a8e7659aabd6fd983 | 2022-07-03T15:53:21.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | anablasi | null | anablasi/lm_financial_v2 | 27 | null | transformers | 7,482 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: modelo_lm_financial
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. -->
# modelo_lm_finan... |
KoichiYasuoka/deberta-large-japanese-unidic-ud-head | b94208e97f76bbe927722393d57ac3bac265b85d | 2022-07-20T03:52:09.000Z | [
"pytorch",
"deberta-v2",
"question-answering",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | question-answering | false | KoichiYasuoka | null | KoichiYasuoka/deberta-large-japanese-unidic-ud-head | 27 | null | transformers | 7,483 | ---
language:
- "ja"
tags:
- "japanese"
- "question-answering"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "question-answering"
widget:
- text: "国語"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: "教科書"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: "の"
c... |
sherover125/newsclassifier | b92ff2bf008f2eea5e6511a8d72af6fb321c50d5 | 2022-07-20T09:24:06.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | sherover125 | null | sherover125/newsclassifier | 27 | null | transformers | 7,484 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: newsclassifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comm... |
alistairmcleay/user-simulator-gpt2 | 2d0fdf00aec555a7a610a6f33142cb4a7e53235b | 2022-06-26T15:14:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:wtfpl"
] | text-generation | false | alistairmcleay | null | alistairmcleay/user-simulator-gpt2 | 27 | null | transformers | 7,485 | ---
license: wtfpl
---
|
fujiki/gpt-neo-en2ja-125M | 9e24f4b3d85bdb18e6b3bb6b9b5591f3d2111694 | 2022-06-27T17:06:53.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | fujiki | null | fujiki/gpt-neo-en2ja-125M | 27 | null | transformers | 7,486 | Entry not found |
BigSalmon/InformalToFormalLincoln53 | 8bbd1a36731987e5ff47b1b9b34176a7827aac28 | 2022-07-01T00:59:52.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/InformalToFormalLincoln53 | 27 | null | transformers | 7,487 | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln53")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln53")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Tra... |
Vkt/model-dataaugmentationpipe | e05e78d9000e7d7ed5ebbf2d1d66d76a0bf5a70c | 2022-07-05T17:48:43.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | Vkt | null | Vkt/model-dataaugmentationpipe | 27 | null | transformers | 7,488 | Entry not found |
tau/spider-nq-ctx-encoder | 60a588a491c5470d2a0fe4229a4eb1691b58aa9a | 2022-07-04T08:32:49.000Z | [
"pytorch",
"dpr",
"transformers"
] | null | false | tau | null | tau/spider-nq-ctx-encoder | 27 | null | transformers | 7,489 | Entry not found |
ShihTing/PanJuOffset_TwoClass | f0529cee629895a25672ca87c3ac41b93c095b93 | 2022-07-05T06:49:03.000Z | [
"pytorch",
"vit",
"image-classification",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | ShihTing | null | ShihTing/PanJuOffset_TwoClass | 27 | null | transformers | 7,490 | ---
license: apache-2.0
tags:
- vision
- image-classification
widget:
- src: https://datasets-server.huggingface.co/assets/ShihTing/IsCausewayOffset/--/ShihTing--IsCausewayOffset/validation/0/image/image.jpg
example_title: Ex1
---
# PanJu offset detect by image
Use fintune from google/vit-base-patch16-224(https://hug... |
ryo0634/bert-base-zip-dependency-flat-0 | 7262b7a6754346a6684f1440bd518a6f76774982 | 2022-07-08T04:47:53.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ryo0634 | null | ryo0634/bert-base-zip-dependency-flat-0 | 27 | null | transformers | 7,491 | Entry not found |
Mimita6654/AI4Code-01 | 37e2fd8a4cc5bde6a65d1339cf444e5619621957 | 2022-07-09T15:06:12.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Mimita6654 | null | Mimita6654/AI4Code-01 | 27 | null | transformers | 7,492 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: AI4Code-01
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. -->
# AI4Code-01
This model is a fin... |
semy/hf-model-0 | 408de75147f5c2d7575a2a0ef7714e6382ddebeb | 2022-07-27T08:21:42.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | semy | null | semy/hf-model-0 | 27 | null | transformers | 7,493 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: hf-model-0
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. -->
#... |
LDY/Question-Answering-Ican | f08b4e66020bee259736b1fcfe8703243a4a9073 | 2022-07-21T13:18:53.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | question-answering | false | LDY | null | LDY/Question-Answering-Ican | 27 | null | transformers | 7,494 | ---
license: afl-3.0
---
### Time: 2020/07/10
### ICAN-AI
|
Siyong/MC_RN | 86baeae8dd61c7b55548dcf380a77130a01f4642 | 2022-07-23T16:22:03.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Siyong | null | Siyong/MC_RN | 27 | null | transformers | 7,495 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Millad_Customer_RN
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. -->
# Millad_Customer_... |
ivan-savchuk/msmarco-distilbert-dot-v5-tuned-full-v1 | 9277397c230dd0b31584f0a7a45a374a333d8bfa | 2022-07-28T12:14:51.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | ivan-savchuk | null | ivan-savchuk/msmarco-distilbert-dot-v5-tuned-full-v1 | 27 | null | sentence-transformers | 7,496 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... |
AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt | 7ec9fc83d13cf29fa7706ebd157f2e1c62affe4f | 2022-05-30T15:40:07.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ba",
"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 | AigizK | null | AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_opt | 26 | null | transformers | 7,497 | ---
language:
- ba
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_7_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: wav2vec2-large-xls-r-300m-bashkir-cv7_opt
results:
- task:
... |
AlexMaclean/sentence-compression | d0bd05865437a846e4d309e470489c31d04b461a | 2021-12-04T08:10:24.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | AlexMaclean | null | AlexMaclean/sentence-compression | 26 | 1 | transformers | 7,498 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: sentence-compression
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... |
ArBert/bert-base-uncased-finetuned-ner-kmeans | 9c9906c07c06febf1f7e77ac72fa340dfe2785e7 | 2022-02-11T16:45:09.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ArBert | null | ArBert/bert-base-uncased-finetuned-ner-kmeans | 26 | null | transformers | 7,499 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-uncased-finetuned-ner-kmeans
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread ... |
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