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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
studio-ousia/mluke-large | 8dac253911d21efd45ece207b11e079694b02241 | 2022-03-11T02:58:11.000Z | [
"pytorch",
"luke",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | studio-ousia | null | studio-ousia/mluke-large | 21 | null | transformers | 8,200 | Entry not found |
transformersbook/xlm-roberta-base-finetuned-panx-en | 5a56d079034f5f2ed6d6c13d9d4c6aa99353cd67 | 2022-02-05T17:07:09.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | transformersbook | null | transformersbook/xlm-roberta-base-finetuned-panx-en | 21 | null | transformers | 8,201 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-en
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.en
metrics:
- name:... |
uclanlp/plbart-multi_task-all | 594e7236fb071ce3cece96a23904e910cbd7acef | 2022-03-02T07:44:43.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-multi_task-all | 21 | null | transformers | 8,202 | Entry not found |
vblagoje/bert-english-uncased-finetuned-chunk | c37c9e8262d61fb10c7a666398364c6574fee55d | 2021-05-20T08:50:30.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | vblagoje | null | vblagoje/bert-english-uncased-finetuned-chunk | 21 | 1 | transformers | 8,203 | Entry not found |
zhuqing/bert-base-uncased-reddit-business | baa31194685995a4deffbf88f1d9e0927bbfdf21 | 2021-08-01T16:42:35.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | zhuqing | null | zhuqing/bert-base-uncased-reddit-business | 21 | null | transformers | 8,204 | Entry not found |
satkinson/DialoGPT-medium-marvin | a47dac172a722a9887949ce2d6508ef8dfc35850 | 2022-04-26T22:13:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"conversational"
] | conversational | false | satkinson | null | satkinson/DialoGPT-medium-marvin | 21 | 0 | transformers | 8,205 | ---
language:
- en
thumbnail:
tags:
- conversational
metrics:
- perplexity
---
## DialoGPT model fine-tuned using Amazon's Topical Chat Dataset
This model is fine-tuned from the original [DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium).
This model was fine-tuned on a subset of messages from [Ama... |
batterydata/batteryonlybert-uncased-squad-v1 | 93cc3ccc9d86de6aebed236d67bf394f965733e7 | 2022-03-03T20:25:01.000Z | [
"pytorch",
"bert",
"question-answering",
"en",
"dataset:squad",
"dataset:batterydata/battery-device-data-qa",
"transformers",
"question answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | batterydata | null | batterydata/batteryonlybert-uncased-squad-v1 | 21 | null | transformers | 8,206 | ---
language: en
tags: question answering
license: apache-2.0
datasets:
- squad
- batterydata/battery-device-data-qa
metrics: squad
---
# BatteryOnlyBERT-uncased for QA
**Language model:** batteryonlybert-uncased
**Language:** English
**Downstream-task:** Extractive QA
**Training data:** SQuAD v1
... |
jkhan447/sentiment-model-sample | 8ec90b8e897075fecb389cc017123cdd5f176eee | 2022-03-04T11:13:39.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jkhan447 | null | jkhan447/sentiment-model-sample | 21 | null | transformers | 8,207 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: sentiment-model-sample
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metrics:
- name: Accu... |
Visual-Attention-Network/van-large | 98b609818338396dc9a3d09f5c31de94b0eb50fe | 2022-03-31T12:45:46.000Z | [
"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-large | 21 | null | transformers | 8,208 | ---
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... |
leftthomas/resnet50 | 19128d842d5b7589cbf02b5002d70f9c65586796 | 2022-03-11T12:53:14.000Z | [
"pytorch",
"resnet",
"dataset:imagenet",
"arxiv:1512.03385",
"transformers",
"image-classification",
"license:afl-3.0"
] | image-classification | false | leftthomas | null | leftthomas/resnet50 | 21 | null | transformers | 8,209 | ---
tags:
- image-classification
- resnet
license: afl-3.0
datasets:
- imagenet
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:... |
navteca/nli-deberta-v3-xsmall | 90986fb464069d701ba1104a9e1b9bdfe7c3c41c | 2022-03-16T09:49:34.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"en",
"dataset:multi_nli",
"dataset:snli",
"transformers",
"microsoft/deberta-v3-xsmall",
"license:apache-2.0",
"zero-shot-classification"
] | zero-shot-classification | false | navteca | null | navteca/nli-deberta-v3-xsmall | 21 | 1 | transformers | 8,210 | ---
datasets:
- multi_nli
- snli
language: en
license: apache-2.0
metrics:
- accuracy
pipeline_tag: zero-shot-classification
tags:
- microsoft/deberta-v3-xsmall
---
# Cross-Encoder for Natural Language Inference
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.n... |
Visual-Attention-Network/van-small | 81e2b580ed3c06863690251ed110bbf4c94a7f82 | 2022-03-31T12:45:49.000Z | [
"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-small | 21 | null | transformers | 8,211 | ---
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... |
facebook/regnet-y-1280-seer-in1k | 32541c21dc3f3adacce9d58a801d6dc2a0ab657d | 2022-06-30T10:22:16.000Z | [
"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-1280-seer-in1k | 21 | null | transformers | 8,212 | ---
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... |
Wikidepia/gpt2-spam | 85bc19d86699dd10f80bcdc96b129cb02a83135f | 2022-03-20T01:10:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | Wikidepia | null | Wikidepia/gpt2-spam | 21 | 1 | transformers | 8,213 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: gpt2-spam
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. -->
# gpt2-spam
This model is ... |
RuudVelo/dutch_news_clf_bert_finetuned | 8c76a1f99791d7bbdf82fba38e15b03e8735fac9 | 2022-03-24T14:37:21.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | RuudVelo | null | RuudVelo/dutch_news_clf_bert_finetuned | 21 | null | transformers | 8,214 | Entry not found |
snehatyagi/wav2vec2_test | da03eb9b0f55a14cbe1fae5dc1cdb46421c51bbf | 2022-03-31T07:21:45.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | snehatyagi | null | snehatyagi/wav2vec2_test | 21 | null | transformers | 8,215 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2_test
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_test
This m... |
Intel/bert-large-uncased-sparse-80-1x4-block-pruneofa | f7df70adf762e97887a906e5e8e4f046e409e3b7 | 2022-03-29T11:56:40.000Z | [
"pytorch",
"bert",
"pretraining",
"en",
"dataset:wikipedia",
"dataset:bookcorpus",
"arxiv:2111.05754",
"transformers",
"fill-mask"
] | fill-mask | false | Intel | null | Intel/bert-large-uncased-sparse-80-1x4-block-pruneofa | 21 | null | transformers | 8,216 | ---
language: en
tags: fill-mask
datasets:
- wikipedia
- bookcorpus
---
# 80% 1x4 Block Sparse BERT-Large (uncased) Prune OFA
This model is was created using Prune OFA method described in [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754) presented in ENLSP NeurIPS Workshop 2021... |
luckydog/bert-base-chinese-finetuned-ChnSenti | 7af377ccb93f3ccf871971fb3ad74969d530ac55 | 2022-04-12T13:38:36.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | luckydog | null | luckydog/bert-base-chinese-finetuned-ChnSenti | 21 | 1 | transformers | 8,217 | Entry not found |
MartinoMensio/racism-models-raw-label-epoch-3 | f8d28c4128733471699f936547af47e05c17834d | 2022-05-04T16:05:21.000Z | [
"pytorch",
"bert",
"text-classification",
"es",
"transformers",
"license:mit"
] | text-classification | false | MartinoMensio | null | MartinoMensio/racism-models-raw-label-epoch-3 | 21 | null | transformers | 8,218 | ---
language: es
license: mit
widget:
- text: "y porqué es lo que hay que hacer con los menas y con los adultos también!!!! NO a los inmigrantes ilegales!!!!"
---
### Description
This model is a fine-tuned version of [BETO (spanish bert)](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) that has been t... |
gxbag/wav2vec2-large-960h-lv60-self-with-wikipedia-lm | a50db71b4d291fefe8589c070f2b6b6124db1890 | 2022-05-23T12:31:37.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | gxbag | null | gxbag/wav2vec2-large-960h-lv60-self-with-wikipedia-lm | 21 | 2 | transformers | 8,219 | This is `facebook/wav2vec2-large-960h-lv60-self` enhanced with a Wikipedia language model.
The dataset used is `wikipedia/20200501.en`. All articles were used. It was cleaned of references and external links and all text inside of parantheses. It has 8092546 words.
The language model was built using KenLM. It is a 5-... |
mrm8488/convnext-tiny-finetuned-eurosat | 41521d86e5799a2f7f83b4b92481a3d46ae8d2d6 | 2022-04-23T15:23:29.000Z | [
"pytorch",
"tensorboard",
"convnext",
"image-classification",
"dataset:nielsr/eurosat-demo",
"transformers",
"generated_from_trainer",
"CV",
"ConvNeXT",
"satellite",
"EuroSAT",
"license:apache-2.0",
"model-index"
] | image-classification | false | mrm8488 | null | mrm8488/convnext-tiny-finetuned-eurosat | 21 | 2 | transformers | 8,220 | ---
license: apache-2.0
tags:
- generated_from_trainer
- CV
- ConvNeXT
- satellite
- EuroSAT
datasets:
- nielsr/eurosat-demo
metrics:
- accuracy
model-index:
- name: convnext-tiny-finetuned-eurosat
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_fold... |
eesungkim/stt_kr_conformer_transducer_large | fdc8412fe0d089913524767b20ff244ff1007ed0 | 2022-06-24T22:11:28.000Z | [
"nemo",
"kr",
"dataset:Ksponspeech",
"arxiv:2005.08100",
"automatic-speech-recognition",
"speech",
"audio",
"transducer",
"Conformer",
"Transformer",
"NeMo",
"pytorch",
"license:cc-by-4.0",
"model-index"
] | automatic-speech-recognition | false | eesungkim | null | eesungkim/stt_kr_conformer_transducer_large | 21 | 3 | nemo | 8,221 | ---
language:
- kr
license: cc-by-4.0
library_name: nemo
datasets:
- Ksponspeech
thumbnail: null
tags:
- automatic-speech-recognition
- speech
- audio
- transducer
- Conformer
- Transformer
- NeMo
- pytorch
model-index:
- name: stt_kr_conformer_transducer_large
results: []
---
## Model Overview
<DESCRIBE IN ONE L... |
emilylearning/finetuned_cgp_added_none__test_run_False__p_dataset_100 | 28ff6a29c64ffe9a3d28ec32e43a2000cc9111b6 | 2022-05-06T18:11:01.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_added_none__test_run_False__p_dataset_100 | 21 | null | transformers | 8,222 | Entry not found |
eslamxm/mt5-base-finetuned-english | 4502d1d70784c52544ccf187ef5d5df9742b61e5 | 2022-05-11T14:49:00.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"english",
"en",
"Abstractive Summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | eslamxm | null | eslamxm/mt5-base-finetuned-english | 21 | null | transformers | 8,223 | ---
license: apache-2.0
tags:
- summarization
- english
- en
- mt5
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mt5-base-finetuned-english
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
s... |
emilylearning/cond_ft_none_on_reddit__prcnt_100__test_run_False | f137e4f0ac51088a0c2f3bf2b5bec987af0fa4a5 | 2022-05-13T05:41:50.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/cond_ft_none_on_reddit__prcnt_100__test_run_False | 21 | null | transformers | 8,224 | Entry not found |
emilylearning/cond_ft_subreddit_on_reddit__prcnt_100__test_run_False | 9a8f65a2841a86dd76e4e76daf6c0d3b19d7cfeb | 2022-05-13T22:21:56.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/cond_ft_subreddit_on_reddit__prcnt_100__test_run_False | 21 | null | transformers | 8,225 | Entry not found |
Xiaoman/NER-CoNLL2003-V2 | 402ca1daa320f40d0d9d682df8f90502edf15354 | 2022-05-14T04:56:27.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Xiaoman | null | Xiaoman/NER-CoNLL2003-V2 | 21 | null | transformers | 8,226 | Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 7.961395091713594e-05
train_batch_size: 32
eval_batch_size: 32
seed: 27
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
|
Xiaoman/NER-CoNLL2003-V4 | 8a71c88261ec30872568e26b3f6638f92fe6063c | 2022-05-14T19:37:35.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Xiaoman | null | Xiaoman/NER-CoNLL2003-V4 | 21 | null | transformers | 8,227 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: NER-CoNLL2003-V4
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. -->
# NER-CoNLL2003-V4
... |
anuj55/distilbert-base-uncased-finetuned-polifact | 2fd37511df6c678fb41072be9c14518cd4205147 | 2022-05-15T16:21:04.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | anuj55 | null | anuj55/distilbert-base-uncased-finetuned-polifact | 21 | null | transformers | 8,228 | Entry not found |
imohammad12/GRS-complex-simple-classifier-DeBerta | 69008160598bc7be5d4bdfef161f5a2b8eace5d9 | 2022-05-26T10:49:13.000Z | [
"pytorch",
"deberta",
"text-classification",
"en",
"transformers",
"grs"
] | text-classification | false | imohammad12 | null | imohammad12/GRS-complex-simple-classifier-DeBerta | 21 | null | transformers | 8,229 | ---
language: en
tags: grs
---
## Citation
Please star the [GRS GitHub repo](https://github.com/imohammad12/GRS) and cite the paper if you found our model useful:
```
@inproceedings{dehghan-etal-2022-grs,
title = "{GRS}: Combining Generation and Revision in Unsupervised Sentence Simplification",
author = "Deh... |
questgen/msmarco-distilbert-base-v4-feature-extraction-pipeline | 6be608d278b1f7c771b17a5fe123e658049bdd3a | 2022-05-21T11:15:42.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"arxiv:1908.10084",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | questgen | null | questgen/msmarco-distilbert-base-v4-feature-extraction-pipeline | 21 | null | sentence-transformers | 8,230 | ---
pipeline_tag: feature-extraction
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/msmarco-distilbert-base-v4
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional de... |
Shenghao1993/distilbert-base-uncased-finetuned-emotion | 6041076ca6be3de4cb0302e1b296d743e37006ac | 2022-05-24T02:25:08.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Shenghao1993 | null | Shenghao1993/distilbert-base-uncased-finetuned-emotion | 21 | null | transformers | 8,231 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
KoichiYasuoka/deberta-large-japanese-luw-upos | 54e41fa94206d32f9002a860bbdca1c4c52e16af | 2022-07-23T14:44:01.000Z | [
"pytorch",
"deberta-v2",
"token-classification",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"pos",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/deberta-large-japanese-luw-upos | 21 | null | transformers | 8,232 | ---
language:
- "ja"
tags:
- "japanese"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "国境の長いトンネルを抜けると雪国であった。"
---
# deberta-large-japanese-luw-upos
## Model Description
This is a DeBERTa(V2) mo... |
Yah216/Arabic_poem_meter_3 | fdee92fa4ee718710c24ca36e3cb27a2f5547450 | 2022-05-28T07:59:10.000Z | [
"pytorch",
"bert",
"text-classification",
"ar",
"transformers",
"co2_eq_emissions"
] | text-classification | false | Yah216 | null | Yah216/Arabic_poem_meter_3 | 21 | null | transformers | 8,233 | ---
---
language: ar
widget:
- text: "قفا نبك من ذِكرى حبيب ومنزلِ بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ"
- text: "سَلو قَلبي غَداةَ سَلا وَثابا لَعَلَّ عَلى الجَمالِ لَهُ عِتابا"
co2_eq_emissions: 404.66986451902227
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- CO2 Emissions (in... |
sahn/distilbert-base-uncased-finetuned-imdb-tag | d103fb07e0324e661759c3cc74287cc3faed3353 | 2022-05-30T04:49:48.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | sahn | null | sahn/distilbert-base-uncased-finetuned-imdb-tag | 21 | null | transformers | 8,234 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-imdb-tag
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metri... |
theojolliffe/bart-cnn-science | 2b5c0e689642ef19663935c01d19a6881777c0d2 | 2022-05-30T17:31:48.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"dataset:scientific_papers",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-cnn-science | 21 | null | transformers | 8,235 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3-arxiv1o3-arxiv2o3-arxiv3o3
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: sc... |
classla/bcms-bertic-parlasent-bcs-ter | 4bfc89d99f4e90d960060ac47f1223caf153b4b4 | 2022-06-20T12:27:45.000Z | [
"pytorch",
"electra",
"text-classification",
"hr",
"arxiv:2206.00929",
"transformers",
"sentiment-analysis"
] | text-classification | false | classla | null | classla/bcms-bertic-parlasent-bcs-ter | 21 | null | transformers | 8,236 | ---
language: "hr"
tags:
- text-classification
- sentiment-analysis
widget:
- text: "Poštovani potpredsjedničke Vlade i ministre hrvatskih branitelja, mislite li da ste zapravo iznevjerili svoje suborce s kojima ste 555 dana prosvjedovali u šatoru protiv tadašnjih dužnosnika jer ste zapravo donijeli zakon koji je nep... |
classla/bcms-bertic-parlasent-bcs-bi | 526844df71b5b4c2a73e2ee52996438387c7ec95 | 2022-06-17T13:51:54.000Z | [
"pytorch",
"electra",
"text-classification",
"hr",
"arxiv:2206.00929",
"transformers",
"sentiment-analysis"
] | text-classification | false | classla | null | classla/bcms-bertic-parlasent-bcs-bi | 21 | null | transformers | 8,237 | ---
language: "hr"
tags:
- text-classification
- sentiment-analysis
widget:
- text: "Poštovani potpredsjedničke Vlade i ministre hrvatskih branitelja, mislite li da ste zapravo iznevjerili svoje suborce s kojima ste 555 dana prosvjedovali u šatoru protiv tadašnjih dužnosnika jer ste zapravo donijeli zakon koji je nep... |
luigisaetta/squad_it_xxl_cased_hub1 | f2f710f1a879e9e70b49b7925a713cf19d6d583b | 2022-06-08T06:39:02.000Z | [
"pytorch",
"bert",
"question-answering",
"it",
"dataset:squad_it",
"transformers",
"Q&A",
"model-index",
"autotrain_compatible"
] | question-answering | false | luigisaetta | null | luigisaetta/squad_it_xxl_cased_hub1 | 21 | null | transformers | 8,238 | ---
language:
- it
metrics:
- type squad
datasets:
- squad_it
tags:
- Q&A
widget:
- text: "Come si chiama il primo re di Roma?"
context: "Roma è una delle più belle ed antiche città del mondo. Il più famoso monumento di Roma è il Colosseo. Un altro monumento molto bello è la Colonna Traiana. Il primo re di Roma è sta... |
robinhad/ukrainian-qa | 86bea78cf587ce58d656d3ea3ede1d787cc3c6c1 | 2022-06-01T22:08:47.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"uk",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | robinhad | null | robinhad/ukrainian-qa | 21 | 2 | transformers | 8,239 | ---
license: mit
language: uk
tags:
- generated_from_trainer
model-index:
- name: ukrainian-qa
results: []
widget:
- text: "Що відправлять для ЗСУ?"
context: "Про це повідомив міністр оборони Арвідас Анушаускас. Уряд Литви не має наміру зупинятися у військово-технічній допомозі Україні. Збройні сили отримають антид... |
avacaondata/roberta-large-biomedical | 8bfd234324037d30c29d3246b826dbf3fafca872 | 2022-06-04T10:44:41.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | avacaondata | null | avacaondata/roberta-large-biomedical | 21 | null | transformers | 8,240 | Entry not found |
facebook/genre-linking-blink | 3c33ba95f2427fb67fd45971cca66b8a676614b4 | 2022-06-14T14:07:29.000Z | [
"pytorch",
"tf",
"jax",
"bart",
"text2text-generation",
"en",
"arxiv:2010.00904",
"arxiv:1910.13461",
"arxiv:1911.03814",
"transformers",
"retrieval",
"entity-retrieval",
"named-entity-disambiguation",
"entity-disambiguation",
"named-entity-linking",
"entity-linking",
"autotrain_comp... | text2text-generation | false | facebook | null | facebook/genre-linking-blink | 21 | 1 | transformers | 8,241 | ---
language:
- en
tags:
- retrieval
- entity-retrieval
- named-entity-disambiguation
- entity-disambiguation
- named-entity-linking
- entity-linking
- text2text-generation
---
# GENRE
The GENRE (Generative ENtity REtrieval) system as presented in [Autoregressive Entity Retrieval](https://arxiv.org/abs/2010.00904... |
santiviquez/t5-small-finetuned-samsum-en | a59cce76a34827e9d37b6d52586ae988e4b4d259 | 2022-06-27T20:55:29.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:samsum",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | santiviquez | null | santiviquez/t5-small-finetuned-samsum-en | 21 | null | transformers | 8,242 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: t5-small-finetuned-samsum-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
a... |
ghadeermobasher/Original-BioBERT-NCBI | 8f5cebb0956af733a3f314ef2efb228d2076f64b | 2022-06-08T20:01:10.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Original-BioBERT-NCBI | 21 | null | transformers | 8,243 | Entry not found |
alistvt/01-roberta-dialdoc | dedca71f17480d9a754883f199f510c6c0649fae | 2022-06-19T07:58:18.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | alistvt | null | alistvt/01-roberta-dialdoc | 21 | null | transformers | 8,244 | Entry not found |
ericntay/bert-finetuned-emotion | e1fcb14e2f19b5b2dce860b1f06afc0df3fff0cb | 2022-06-13T17:46:15.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | ericntay | null | ericntay/bert-finetuned-emotion | 21 | null | transformers | 8,245 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: bert-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name... |
ghadeermobasher/BC4CHEMD-Chem-Modified-BioBERT-384 | 040c680156d681d4aecdd032c42fa611f4064feb | 2022-06-15T18:03:04.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Modified-BioBERT-384 | 21 | null | transformers | 8,246 | Entry not found |
Nonzerophilip/bert-finetuned-ner | 8b34bfe88ffaf4a8cf83bf94b0c3ecae5621e5a4 | 2022-06-16T13:45:56.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Nonzerophilip | null | Nonzerophilip/bert-finetuned-ner | 21 | null | transformers | 8,247 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
RomanCast/no_init_miam_loria_finetuned | a5864b2c9a807ec3d27f401a131ca0719db0ed60 | 2022-06-16T17:11:36.000Z | [
"pytorch",
"camembert",
"text-classification",
"fr",
"transformers"
] | text-classification | false | RomanCast | null | RomanCast/no_init_miam_loria_finetuned | 21 | null | transformers | 8,248 | ---
language:
- fr
--- |
ZipperXYZ/DialoGPT-medium-TheWorldMachineExpressive | fb80535c4688c1c6a45613df9eb6079a6a6f3950 | 2022-06-18T02:07:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ZipperXYZ | null | ZipperXYZ/DialoGPT-medium-TheWorldMachineExpressive | 21 | null | transformers | 8,249 | ---
tags:
- conversational
---
# The world machine DialoGPT model |
Willy/bert-base-spanish-wwm-cased-finetuned-NLP-IE-4 | dd8a0f437357611b3d23d39a8ad793a7d1e10728 | 2022-06-28T14:44:34.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | Willy | null | Willy/bert-base-spanish-wwm-cased-finetuned-NLP-IE-4 | 21 | null | transformers | 8,250 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-spanish-wwm-cased-finetuned-NLP-IE-4
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... |
Jeevesh8/std_0pnt2_bert_ft_cola-0 | a2a40c784daf42e87cd750460039543d3c2b1fa0 | 2022-06-21T13:27:51.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-0 | 21 | null | transformers | 8,251 | Entry not found |
Matthijs/mobilenet_v1_0.75_192 | 1a63ace7d0a9d72ac33b3af39e044a1dcd4c65d4 | 2022-06-22T12:50:39.000Z | [
"pytorch",
"mobilenet_v1",
"dataset:imagenet-1k",
"arxiv:1704.04861",
"transformers",
"vision",
"image-classification",
"license:other"
] | image-classification | false | Matthijs | null | Matthijs/mobilenet_v1_0.75_192 | 21 | null | transformers | 8,252 | ---
license: other
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: https://hu... |
truongxl/NER_covid19 | 2556ec4478e0cf46f0f2f128df371d71962f7110 | 2022-06-23T04:05:10.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | truongxl | null | truongxl/NER_covid19 | 21 | null | transformers | 8,253 | Entry not found |
KoichiYasuoka/deberta-base-japanese-wikipedia-luw-upos | 7e81edcb08c0066c01479572d3314a9ee598699d | 2022-07-23T14:43:48.000Z | [
"pytorch",
"deberta-v2",
"token-classification",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"wikipedia",
"pos",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/deberta-base-japanese-wikipedia-luw-upos | 21 | null | transformers | 8,254 | ---
language:
- "ja"
tags:
- "japanese"
- "wikipedia"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "国境の長いトンネルを抜けると雪国であった。"
---
# deberta-base-japanese-wikipedia-luw-upos
## Model Description
T... |
Someman/distilbert-base-uncased-finetuned-emotion | a6bcfd1353b9f050a60a33fe80ebb34c74c746ae | 2022-07-16T05:49:22.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Someman | null | Someman/distilbert-base-uncased-finetuned-emotion | 21 | null | transformers | 8,255 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
josh-oo/bert-to-gpt2-german-to-easy-german | 674a53597dbcce45743554e30a8b5dbd98a77f6b | 2022-07-05T15:20:09.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | josh-oo | null | josh-oo/bert-to-gpt2-german-to-easy-german | 21 | null | transformers | 8,256 | Entry not found |
codenamewei/speech-to-text | 5a0459e9ec7a20b74bc56947afe616f41c8e8844 | 2022-07-02T18:02:42.000Z | [
"pytorch",
"wav2vec2-conformer",
"automatic-speech-recognition",
"transformers",
"license:gpl-3.0"
] | automatic-speech-recognition | false | codenamewei | null | codenamewei/speech-to-text | 21 | null | transformers | 8,257 | ---
license: gpl-3.0
---
|
Doohae/bart-kor-620000 | c9b539519ea5fde413bc25e65b7954eee5dd5e30 | 2022-07-04T09:39:27.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Doohae | null | Doohae/bart-kor-620000 | 21 | null | transformers | 8,258 | Entry not found |
KoichiYasuoka/bert-ancient-chinese-base-upos | fb6752bd3c5e4847f9902fc35beb6ca94ca3ae74 | 2022-07-09T10:26:04.000Z | [
"pytorch",
"bert",
"token-classification",
"lzh",
"dataset:universal_dependencies",
"transformers",
"classical chinese",
"literary chinese",
"ancient chinese",
"pos",
"dependency-parsing",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/bert-ancient-chinese-base-upos | 21 | null | transformers | 8,259 | ---
language:
- "lzh"
tags:
- "classical chinese"
- "literary chinese"
- "ancient chinese"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
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"
---
# bert-ancient-chines... |
BBarbarestani/RoBERTa_HateXplain_Target_Span_Detection_UQS_Threshold_50_2_Previous_Hyperparameters | 235724245b899d6ae294c189d77d89fc615aad02 | 2022-07-05T13:14:17.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | BBarbarestani | null | BBarbarestani/RoBERTa_HateXplain_Target_Span_Detection_UQS_Threshold_50_2_Previous_Hyperparameters | 21 | null | transformers | 8,260 | Entry not found |
ryo0634/en-encoder-en-0 | 3e5092e9a08677b356658495290f6d4fc889f687 | 2022-07-06T05:15:32.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ryo0634 | null | ryo0634/en-encoder-en-0 | 21 | null | transformers | 8,261 | Entry not found |
ghadeermobasher/Modified-BlueBERT-BioRED-Chem-512-5-30 | 3a8ae2d36ad05789143137010993bda3e5da3796 | 2022-07-08T08:30:24.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Modified-BlueBERT-BioRED-Chem-512-5-30 | 21 | null | transformers | 8,262 | |
ryo0634/zip-dependency-flat-encoder-en-0 | fd17a5e4a8604dcf6f3f6616dc14000264092863 | 2022-07-09T15:40:47.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ryo0634 | null | ryo0634/zip-dependency-flat-encoder-en-0 | 21 | null | transformers | 8,263 | Entry not found |
Kozias/BERT-v11 | 9b1ccd1f18e616d3aad3bb927db0272e0ce70ed2 | 2022-07-19T02:08:56.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Kozias | null | Kozias/BERT-v11 | 21 | null | transformers | 8,264 | Entry not found |
thu-coai/EVA2.0-xlarge | 6b3ad1fdf16df28d300da46aebc2e7991baa6fce | 2022-07-25T02:57:30.000Z | [
"pytorch",
"zh",
"arxiv:2108.01547",
"arxiv:2203.09313",
"transformers",
"license:mit"
] | null | false | thu-coai | null | thu-coai/EVA2.0-xlarge | 21 | null | transformers | 8,265 | ---
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... |
jhonparra18/bert-base-cased-cv-studio_name-medium | 807a3b8cf8129bdca64842896809d1901978da72 | 2022-07-14T22:17:03.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jhonparra18 | null | jhonparra18/bert-base-cased-cv-studio_name-medium | 21 | null | transformers | 8,266 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-cased-cv-studio_name-medium
results: []
widget:
- text: "Egresado de la carrera Ingeniería en Computación Conocimientos de lenguajes HTML, CSS, Javascript y MySQL. Experiencia trabajando en ámbitos de r... |
jhonparra18/roberta-base-cv-studio_name-medium | 80b48b379ba1ca5778cf24671e900d3db006686f | 2022-07-16T02:43:03.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jhonparra18 | null | jhonparra18/roberta-base-cv-studio_name-medium | 21 | null | transformers | 8,267 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-cv-studio_name-medium
results: []
widget:
- text: "Egresado de la carrera Ingeniería en Computación Conocimientos de lenguajes HTML, CSS, Javascript y MySQL. Experiencia trabajando en ámbitos de redes d... |
jinwooChoi/KDH_NER_ELECTRA | 598b8d4ebeb7fd5771ea0bad8b14b9d8d20e2476 | 2022-07-19T07:54:14.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | jinwooChoi | null | jinwooChoi/KDH_NER_ELECTRA | 21 | null | transformers | 8,268 | Entry not found |
Evelyn18/distilbert-base-uncased-modelo-becas0 | dcc0ed2933940ac7d3dc6ce53b1be22a0e94e919 | 2022-07-15T22:56:08.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:becasv3",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | Evelyn18 | null | Evelyn18/distilbert-base-uncased-modelo-becas0 | 21 | null | transformers | 8,269 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- becasv3
model-index:
- name: distilbert-base-uncased-modelo-becas0
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 remov... |
Unso/roberta-large-finetuned-sst5 | 9c6fbad1c3e478f68a524b1f844259990f8375f2 | 2022-07-20T07:05:57.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Unso | null | Unso/roberta-large-finetuned-sst5 | 21 | null | transformers | 8,270 | Entry not found |
RobertoFont/pegasus-large-samsum | e68697845c4da36861d535d2252b7d30961d0340 | 2022-07-16T15:12:09.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"dataset:samsum",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | RobertoFont | null | RobertoFont/pegasus-large-samsum | 21 | null | transformers | 8,271 | ---
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: pegasus-large-samsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
args: samsum
metrics:
- name: Rouge1
... |
UT/BRTW_MULICLASS | 9b891cec9165a2cb4bc7ef7d78b68b109b9d51bf | 2022-07-17T10:57:14.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | UT | null | UT/BRTW_MULICLASS | 21 | null | transformers | 8,272 | Entry not found |
uer/roberta-large-wwm-chinese-cluecorpussmall | 96862a51fef0b5cc9cc485007f06db0ddd2c2dab | 2022-07-18T05:56:53.000Z | [
"pytorch",
"bert",
"fill-mask",
"zh",
"dataset:CLUECorpusSmall",
"arxiv:1909.05658",
"arxiv:1908.08962",
"transformers",
"autotrain_compatible"
] | fill-mask | false | uer | null | uer/roberta-large-wwm-chinese-cluecorpussmall | 21 | null | transformers | 8,273 | ---
language: zh
datasets: CLUECorpusSmall
widget:
- text: "北京是[MASK]国的首都。"
---
# Chinese Whole Word Masking RoBERTa Miniatures
## Model description
This is the set of 6 Chinese Whole Word Masking RoBERTa models pre-trained by [UER-py](https://arxiv.org/abs/1909.05658).
[Turc et al.](https://arxiv.org/abs/1908.0... |
gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram | 0c024b28259a5a1b51331c6972b8f4b9aa2982df | 2022-07-29T08:18:10.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"gary109/AI_Light_Dance",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | gary109 | null | gary109/ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram | 21 | null | transformers | 8,274 | ---
license: apache-2.0
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_singing3_ft_wav2vec2-large-xlsr-53-v1-5gram
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. ... |
xhyi/layoutlmv3_docvqa_t11c5000 | 0965ab663472459606e8c8c5ee126157725a3d9a | 2022-07-22T18:53:47.000Z | [
"pytorch",
"layoutlmv3",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | xhyi | null | xhyi/layoutlmv3_docvqa_t11c5000 | 21 | null | transformers | 8,275 |
# LayoutLMv3: DocVQA Replication WIP
See experiments code: <https://github.com/redthing1/layoutlm_experiments>
|
razhan/codeqmul | 2da18b55944a2b6d0ea73dc2c746a501bf611a02 | 2022-07-28T18:25:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | razhan | null | razhan/codeqmul | 21 | null | transformers | 8,276 | Entry not found |
luffycodes/luke-base-conll | 85ae436586c1f3944ba07950f4050dbf86bba7b2 | 2022-07-29T04:32:14.000Z | [
"pytorch",
"luke",
"allennlp"
] | null | false | luffycodes | null | luffycodes/luke-base-conll | 21 | null | allennlp | 8,277 | ---
tags:
- allennlp
---
# TODO: Fill this model card
---
tags:
- allennlp
---
# TODO: Fill this model card
|
Aastha/wav2vec2-large-xls-r-300m-tr-colab | 10ec5e7ec56346b18f5e3d9fbc189b390f03a62f | 2022-01-23T20:43:52.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | Aastha | null | Aastha/wav2vec2-large-xls-r-300m-tr-colab | 20 | null | transformers | 8,278 | Entry not found |
AndrewMcDowell/wav2vec2-xls-r-300m-japanese | 831b85ecd8b3adc91e8de38984f761bcce9bfef6 | 2022-03-23T18:34:20.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ja",
"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 | AndrewMcDowell | null | AndrewMcDowell/wav2vec2-xls-r-300m-japanese | 20 | null | transformers | 8,279 | ---
language:
- ja
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- ja
- mozilla-foundation/common_voice_8_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-300-m
results:
- task:
name: Automatic Speech Re... |
Andrija/M-bert-NER | c21a97f630f3ce9c97de7b2a5844d3d9101ca6c5 | 2021-08-13T09:46:42.000Z | [
"pytorch",
"bert",
"token-classification",
"hr",
"sr",
"dataset:hr500k",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | Andrija | null | Andrija/M-bert-NER | 20 | null | transformers | 8,280 | ---
datasets:
- hr500k
language:
- hr
- sr
widget:
- text: "Moje ime je Aleksandar i zivim u Beogradu pored Vlade Republike Srbije"
license: apache-2.0
---
Named Entity Recognition (Token Classification Head) for Serbian / Croatian languges.
Abbreviation|Description
-|-
O|Outside of a named entity
B-MIS |Beginning o... |
Ayoola/cdial-yoruba-test | 9e6978cfe41814448ae39be633008abdd6d254a8 | 2021-12-12T09:21:21.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | Ayoola | null | Ayoola/cdial-yoruba-test | 20 | 1 | transformers | 8,281 | Entry not found |
BlindMan820/Sarcastic-News-Headlines | b499a7ba3786864ea571f8de1400d7e9a96fb674 | 2022-01-21T13:31:44.000Z | [
"pytorch",
"distilbert",
"text-classification",
"English",
"dataset:Kaggle Dataset",
"transformers",
"Text",
"Sequence-Classification",
"Sarcasm",
"DistilBert"
] | text-classification | false | BlindMan820 | null | BlindMan820/Sarcastic-News-Headlines | 20 | null | transformers | 8,282 | ---
language:
- English
tags:
- Text
- Sequence-Classification
- Sarcasm
- DistilBert
datasets:
- Kaggle Dataset
metrics :
- precision
- recall
- f1
---
Dataset Link - https://www.kaggle.com/rmisra/news-headlines-dataset-for-sarcasm-detection |
CenIA/bert-base-spanish-wwm-cased-finetuned-ner | 0cf7cc10bc005707fa8a70ba3739c7d1b50b2630 | 2022-01-06T20:06:50.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | CenIA | null | CenIA/bert-base-spanish-wwm-cased-finetuned-ner | 20 | null | transformers | 8,283 | Entry not found |
DaNLP/da-xlmr-ned | 4a030b975894a7b9b17e9a9801dd18d1cd727d50 | 2021-09-17T12:10:46.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"text-classification",
"da",
"dataset:DaNED",
"dataset:DaWikiNED",
"transformers",
"ned",
"license:cc-by-sa-4.0"
] | text-classification | false | DaNLP | null | DaNLP/da-xlmr-ned | 20 | null | transformers | 8,284 |
---
language:
- da
tags:
- ned
- xlm-roberta
- pytorch
- transformers
license: cc-by-sa-4.0
datasets:
- DaNED
- DaWikiNED
metrics:
- f1
---
# XLM-Roberta fine-tuned for Named Entity Disambiguation
Given a sentence and a knowledge graph context, the model detects whether a specific entity (represented by the knowledg... |
Darkrider/covidbert_medmarco | dcf299f1f7e791b63479cd7c5d3c10264592f62b | 2021-05-18T18:08:55.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"arxiv:2010.05987",
"transformers"
] | text-classification | false | Darkrider | null | Darkrider/covidbert_medmarco | 20 | null | transformers | 8,285 | Fine-tuned CovidBERT on Med-Marco Dataset for passage ranking
# CovidBERT-MedNLI
This is the model **CovidBERT** trained by DeepSet on AllenAI's [CORD19 Dataset](https://pages.semanticscholar.org/coronavirus-research) of scientific articles about coronaviruses.
The model uses the original BERT wordpiece vocabulary ... |
Davlan/bert-base-multilingual-cased-masakhaner | b541a4b146aa178ddb6783638bbaa2ba86d9d349 | 2022-06-27T11:50:04.000Z | [
"pytorch",
"tf",
"bert",
"token-classification",
"ha",
"ig",
"rw",
"lg",
"luo",
"pcm",
"sw",
"wo",
"yo",
"multilingual",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"autotrain_compatible"
] | token-classification | false | Davlan | null | Davlan/bert-base-multilingual-cased-masakhaner | 20 | null | transformers | 8,286 | Hugging Face's logo
---
language:
- ha
- ig
- rw
- lg
- luo
- pcm
- sw
- wo
- yo
- multilingual
datasets:
- masakhaner
---
# bert-base-multilingual-cased-masakhaner
## Model description
**bert-base-multilingual-cased-masakhaner** is the first **Named Entity Recognition** model for 9 African languages (Hausa, Igbo, K... |
Geotrend/bert-base-zh-cased | 21847ddf72c2f6cfb6b2d214e04d5804fb8c2d12 | 2021-05-18T20:16:15.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/bert-base-zh-cased | 20 | null | transformers | 8,287 | ---
language: zh
datasets: wikipedia
license: apache-2.0
---
# bert-base-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://huggingface.co/disti... |
Helsinki-NLP/opus-mt-en-ts | 8093589efb39ad94f79db8e22c3dbabd6d598310 | 2021-09-09T21:40:13.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ts",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-ts | 20 | null | transformers | 8,288 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-ts
* source languages: en
* target languages: ts
* OPUS readme: [en-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ts/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-ja-sv | 1c70b4dc2dc82ada9a036ac3a4bc2cf552be3201 | 2021-09-10T13:53:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ja",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ja-sv | 20 | null | transformers | 8,289 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ja-sv
* source languages: ja
* target languages: sv
* OPUS readme: [ja-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-kqn-en | 2fcb140432b927a8d8c726edda2fd73bf7d54378 | 2021-09-10T13:54:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kqn",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kqn-en | 20 | null | transformers | 8,290 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kqn-en
* source languages: kqn
* target languages: en
* OPUS readme: [kqn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-loz-en | d975d0dcd374d47e05c15069ad5f63296d53a3c0 | 2021-09-10T13:55:15.000Z | [
"pytorch",
"marian",
"text2text-generation",
"loz",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-loz-en | 20 | null | transformers | 8,291 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-loz-en
* source languages: loz
* target languages: en
* OPUS readme: [loz-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-lun-en | 79da48c57f71876f29327472e09943a1cda155bf | 2021-09-10T13:56:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lun",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lun-en | 20 | null | transformers | 8,292 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lun-en
* source languages: lun
* target languages: en
* OPUS readme: [lun-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lun-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-phi-en | e82e04a34f749e0f6a21beff9e7415dfa21d04d2 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"phi",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-phi-en | 20 | null | transformers | 8,293 | ---
language:
- phi
- en
tags:
- translation
license: apache-2.0
---
### phi-eng
* source group: Philippine languages
* target group: English
* OPUS readme: [phi-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/phi-eng/README.md)
* model: transformer
* source language(s): akl_Latn ceb... |
Helsinki-NLP/opus-mt-srn-en | 733852218fbe91aee17c1bc3a3cedf4737a3db6e | 2021-09-10T14:04:31.000Z | [
"pytorch",
"marian",
"text2text-generation",
"srn",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-srn-en | 20 | null | transformers | 8,294 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-srn-en
* source languages: srn
* target languages: en
* OPUS readme: [srn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-taw-en | 3561d29d357076b0351253652cbed0d28f42b75d | 2020-08-21T14:42:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lo",
"th",
"taw",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-taw-en | 20 | null | transformers | 8,295 | ---
language:
- lo
- th
- taw
- en
tags:
- translation
license: apache-2.0
---
### taw-eng
* source group: Tai
* target group: English
* OPUS readme: [taw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/taw-eng/README.md)
* model: transformer
* source language(s): lao tha
* target la... |
Helsinki-NLP/opus-mt-ts-en | 62fafde175b8164b5fc1cb28511184adf259ff94 | 2021-09-11T10:49:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ts",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ts-en | 20 | null | transformers | 8,296 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ts-en
* source languages: ts
* target languages: en
* OPUS readme: [ts-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-zne-sv | 80dea0c78d7a8eb2647fc6e2aa17aeef46c682a6 | 2021-09-11T10:53:18.000Z | [
"pytorch",
"marian",
"text2text-generation",
"zne",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-zne-sv | 20 | null | transformers | 8,297 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-zne-sv
* source languages: zne
* target languages: sv
* OPUS readme: [zne-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/zne-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
IlyaGusev/gen_title_tg_bottleneck_encoder | 65142ed360a292834364ffbddf12648956c35401 | 2021-05-18T21:08:31.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | IlyaGusev | null | IlyaGusev/gen_title_tg_bottleneck_encoder | 20 | null | transformers | 8,298 | Entry not found |
Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly09 | 6a55108f19f038fbde9fb430d0da009669698bbf | 2021-12-15T16:50:47.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | Jeska | null | Jeska/VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly09 | 20 | null | transformers | 8,299 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: VaccinChatSentenceClassifierDutch_fromBERTje2_DAdialogQonly09
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... |
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