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drab/Infrastructures | ad7a7c72b55fba9b1cc0c3feae3fbd424b67bd3c | 2021-11-03T14:30:24.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | drab | null | drab/Infrastructures | 75 | null | transformers | 5,200 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: Infrastructures
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9253731369972229
---
# Infrastructures
... |
firebolt/llama_or_what | 500f0d60dd102f5cff065b945b764636ea42fef1 | 2021-07-31T19:27:52.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | firebolt | null | firebolt/llama_or_what | 75 | null | transformers | 5,201 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: llama_or_what
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.3125
---
# llama_or_what
Autogenerated by... |
hgarg/fruits | 3c1af9b47c2e05c60d734fc84e8d3e4c8b3a9c46 | 2021-07-02T11:08:27.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | hgarg | null | hgarg/fruits | 75 | 1 | transformers | 5,202 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: fruits
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9732142686843872
---
# fruits
Autogenerated by H... |
it5/it5-base-news-summarization | 3e463acd47dd34e73f91fd0899341429aed35ac2 | 2022-03-09T07:53:56.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"it",
"dataset:ARTeLab/fanpage",
"dataset:ARTeLab/ilpost",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"fanpage",
"ilpost",
"summarization",
"license:apache-2.0",
"model-index",
"co2_e... | summarization | false | it5 | null | it5/it5-base-news-summarization | 75 | null | transformers | 5,203 | ---
language:
- it
license: apache-2.0
datasets:
- ARTeLab/fanpage
- ARTeLab/ilpost
tags:
- italian
- sequence-to-sequence
- fanpage
- ilpost
- summarization
widget:
- text: "Non lo vuole sposare. E’ quanto emerge all’interno dell’ultima intervista di Raffaella Fico che, ringraziando Mancini per i buoni c... |
joaoalvarenga/wav2vec2-large-xlsr-italian | f37211f4ca9b3512c69f7b435ab4e63f5492462d | 2021-07-06T09:16:35.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"it",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"apache-2.0",
"portuguese-speech-corpus",
"xlsr-fine-tuning-week",
"PyTorch",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | joaoalvarenga | null | joaoalvarenga/wav2vec2-large-xlsr-italian | 75 | 2 | transformers | 5,204 | ---
language: it
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- speech
- wav2vec2
- it
- apache-2.0
- portuguese-speech-corpus
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
- PyTorch
license: apache-2.0
model-index:
- name: JoaoAlvarenga XLSR Wav2Vec2 Large 53 Italian
results:
- task:
... |
mbartolo/electra-large-synqa | 40732e9bb8a91e338ec9d174ebf57b50cb043fb1 | 2022-07-26T13:18:42.000Z | [
"pytorch",
"electra",
"question-answering",
"en",
"dataset:adversarial_qa",
"dataset:mbartolo/synQA",
"dataset:squad",
"arxiv:2002.00293",
"arxiv:2104.08678",
"transformers",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | mbartolo | null | mbartolo/electra-large-synqa | 75 | 1 | transformers | 5,205 | ---
language:
- en
tags:
- question-answering
license: "apache-2.0"
datasets:
- adversarial_qa
- mbartolo/synQA
- squad
metrics:
- exact_match
- f1
model-index:
- name: mbartolo/electra-large-synqa
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad
ty... |
mrm8488/bert-mini-finetuned-squadv2 | 01e4b5d7430405cf6590939bc9a20c6983006e8d | 2021-05-20T00:26:36.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"en",
"arxiv:1908.08962",
"transformers",
"autotrain_compatible"
] | question-answering | false | mrm8488 | null | mrm8488/bert-mini-finetuned-squadv2 | 75 | null | transformers | 5,206 | ---
language: en
thumbnail:
---
# BERT-Mini fine-tuned on SQuAD v2
[BERT-Mini](https://github.com/google-research/bert/) created by [Google Research](https://github.com/google-research) and fine-tuned on [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/) for **Q&A** downstream task.
**Mode size** (after traini... |
nateraw/doggos-lol | 5cb7d410e4c07c9bc6ef2e616ae79c2b1080435f | 2021-08-15T05:22:35.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | nateraw | null | nateraw/doggos-lol | 75 | null | transformers | 5,207 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: doggos-lol
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9166666865348816
---
# doggos-lol
Autogenera... |
nielsr/vit-base-patch16-224 | f01dbea902ec83d3fd53bb90df29545ff8522936 | 2021-03-24T07:36:09.000Z | [
"pytorch",
"vit",
"image-classification",
"transformers"
] | image-classification | false | nielsr | null | nielsr/vit-base-patch16-224 | 75 | null | transformers | 5,208 | Entry not found |
nreimers/MiniLMv2-L6-H768-distilled-from-BERT-Large | ac5599d085d0334315daf2bffbd849f620d51b98 | 2021-06-20T19:02:40.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | nreimers | null | nreimers/MiniLMv2-L6-H768-distilled-from-BERT-Large | 75 | null | transformers | 5,209 | # MiniLMv2
This is a MiniLMv2 model from: [https://github.com/microsoft/unilm](https://github.com/microsoft/unilm/tree/master/minilm) |
osanseviero/hot_dog_or_sandwich | 2d75a105b20bea660a426fc23014f0be78a105c2 | 2021-07-01T18:31:46.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | osanseviero | null | osanseviero/hot_dog_or_sandwich | 75 | null | transformers | 5,210 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: hot_dog_or_sandwich
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8541666865348816
---
# hot_dog_or_san... |
sonoisa/t5-qiita-title-generation | 402d32395e74e7b7926f8616e1128941e2962d59 | 2022-02-21T13:39:01.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ja",
"transformers",
"seq2seq",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | text2text-generation | false | sonoisa | null | sonoisa/t5-qiita-title-generation | 75 | null | transformers | 5,211 | ---
language: ja
tags:
- t5
- text2text-generation
- seq2seq
license: cc-by-sa-4.0
---
# 記事本文からタイトルを生成するモデル
SEE: https://qiita.com/sonoisa/items/30876467ad5a8a81821f |
transformersbook/distilbert-base-uncased-finetuned-clinc | 0993da273a157b79a93c71901ed99fb71b861b02 | 2022-02-05T16:46:21.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:clinc_oos",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | transformersbook | null | transformersbook/distilbert-base-uncased-finetuned-clinc | 75 | null | transformers | 5,212 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... |
tuner007/pegasus_qa | 8f46181659ab41570bfce8522513531bb80ff298 | 2020-12-11T22:02:48.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tuner007 | null | tuner007/pegasus_qa | 75 | null | transformers | 5,213 | # Pegasus for question-answering
Pegasus model fine-tuned for QA using text-to-text approach
## Model in Action 🚀
```
import torch
from transformers import PegasusForConditionalGeneration, PegasusTokenizer
model_name = 'tuner007/pegasus_qa'
torch_device = 'cuda' if torch.cuda.is_available() else 'cpu'
tokenizer = Peg... |
yongzx/gpt2-finetuned-oscar-fr | 48a342789e9ec8a6b16716abad917adafe775835 | 2021-12-09T06:28:11.000Z | [
"pytorch",
"gpt2",
"feature-extraction",
"fr",
"dataset:oscar",
"transformers",
"text-generation",
"license:mit"
] | feature-extraction | false | yongzx | null | yongzx/gpt2-finetuned-oscar-fr | 75 | null | transformers | 5,214 | ---
language:
- fr
tags:
- text-generation
license: mit
datasets:
- oscar
widget:
- text: "Je suis ravi de vous "
---
# GPT-2 finetuned on French Dataset
### Tokenizer
We first trained a tokenizer on OSCAR's `unshuffled_original_fr` French data subset by following the training of GPT2 tokenizer (same vocab size of... |
davanstrien/vit_flyswot_test | 6c47c672ae82bfa929f90f07cffbbd03b4b3bcac | 2022-03-01T18:28:19.000Z | [
"pytorch",
"vit",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"model-index"
] | image-classification | false | davanstrien | null | davanstrien/vit_flyswot_test | 75 | null | transformers | 5,215 | ---
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- f1
model-index:
- name: vit_flyswot_test
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
args: default
metrics:
- name: F1
type... |
eren23/pneumonia-bielefeld-dl-course | 26d01aa7aac8831263864217f8c79aa8e496d952 | 2022-03-31T15:55:27.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | eren23 | null | eren23/pneumonia-bielefeld-dl-course | 75 | 1 | transformers | 5,216 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: pneumonia-bielefeld-dl-course
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8456632494926453
---
# pneu... |
facebook/regnet-y-10b-seer | 6d21a916862493c67b705a6665a918c5132c46a9 | 2022-06-30T18:59:33.000Z | [
"pytorch",
"tf",
"regnet",
"feature-extraction",
"arxiv:2003.13678",
"transformers",
"vision",
"seer",
"license:apache-2.0"
] | feature-extraction | false | facebook | null | facebook/regnet-y-10b-seer | 75 | 2 | transformers | 5,217 | ---
license: apache-2.0
tags:
- vision
- seer
---
## RegNetY 10B
This gigantic model is a scale up [RegNetY](https://arxiv.org/abs/2003.13678) model trained on one billion uncurated Instagram images.
Disclaimer: The team releasing RegNetModel did not write a model card for this model so this model card has been writ... |
voidism/diffcse-roberta-base-sts | 86997f384192a00b3fdc451cf1d2ec47d32fa138 | 2022-05-01T19:30:19.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"arxiv:2204.10298",
"arxiv:2104.08821",
"arxiv:2111.00899",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | voidism | null | voidism/diffcse-roberta-base-sts | 75 | null | transformers | 5,218 | ---
license: apache-2.0
---
# DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
[](https://github.com/voidism/DiffCSE/)
[](https://colab.rese... |
voidism/diffcse-roberta-base-trans | dbb7e08e18ee620b97dd1702f626bc54b277ba94 | 2022-05-01T19:30:38.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"arxiv:2204.10298",
"arxiv:2104.08821",
"arxiv:2111.00899",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | voidism | null | voidism/diffcse-roberta-base-trans | 75 | null | transformers | 5,219 | ---
license: apache-2.0
---
# DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
[](https://github.com/voidism/DiffCSE/)
[](https://colab.rese... |
AhmedSayeem/VIT_Basic | 92a217eb72bffcc048b326ac322685cfef03831d | 2022-04-14T19:01:22.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | AhmedSayeem | null | AhmedSayeem/VIT_Basic | 75 | null | transformers | 5,220 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: VIT_Basic
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9107142686843872
---
# VIT_Basic
Autogenerate... |
amitkayal/ak-vit-base-patch16-224-in21k-image_classification | eda9ca6c2769b04b9caea8f50c356bf8623f118c | 2022-04-23T17:45:49.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | amitkayal | null | amitkayal/ak-vit-base-patch16-224-in21k-image_classification | 75 | null | transformers | 5,221 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: ak-vit-base-patch16-224-in21k-image_classification
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folde... |
Meena/table-question-answering-tapas | d7a306993ccb09100bbf977bd97c8f9784a06f11 | 2022-04-26T12:01:11.000Z | [
"pytorch",
"tapas",
"table-question-answering",
"en",
"dataset:sqa",
"transformers",
"license:apache-2.0"
] | table-question-answering | false | Meena | null | Meena/table-question-answering-tapas | 75 | null | transformers | 5,222 |
---
language:
- en
tags:
- table-question-answering
license: apache-2.0
datasets:
- sqa
metrics:
- bleu
---
# TABLE QUESTION ANSWERING
## TAPAS model
TAPAS, the model learns an inner representation of the English language used in tables and associated texts, which can then be used to extract features useful for dow... |
Ahmed9275/ALL | af11eff4ead2a32a6e5e54e2329ed1ad5f4ebdad | 2022-04-28T01:01:23.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Ahmed9275 | null | Ahmed9275/ALL | 75 | null | transformers | 5,223 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ALL
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9262039065361023
---
# ALL
Autogenerated by Hugging... |
Ahmed9275/ALL-3 | a80656554bc7164f869f089353e6ec88649fbd1e | 2022-04-29T23:42:36.000Z | [
"pytorch",
"tensorboard",
"swin",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Ahmed9275 | null | Ahmed9275/ALL-3 | 75 | null | transformers | 5,224 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ALL-3
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9291744828224182
---
# ALL-3
Autogenerated by Hug... |
karthiksv/vit-base-patch16-224-in21k-finetuned-cifar10 | 6d82c3050e783f0d9b7ffe6570efc6c16a712f77 | 2022-05-13T16:25:11.000Z | [
"pytorch",
"vit",
"image-classification",
"dataset:cifar10",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | karthiksv | null | karthiksv/vit-base-patch16-224-in21k-finetuned-cifar10 | 75 | null | transformers | 5,225 | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
datasets:
- cifar10
model-index:
- name: vit-base-patch16-224-in21k-finetuned-cifar10
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofre... |
Mithil/RobertaAmazonTrained | e74e76ca8105fc5e21b3542b263b22c6a7d0cebb | 2022-06-16T10:02:21.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:other"
] | text-classification | false | Mithil | null | Mithil/RobertaAmazonTrained | 75 | null | transformers | 5,226 | ---
license: other
---
|
kabelomalapane/En-Nso | 225a23ed69381c1a2e5a84b4377f69cb3f14bf7f | 2022-07-07T13:11:05.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"transformers",
"translation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | kabelomalapane | null | kabelomalapane/En-Nso | 75 | null | transformers | 5,227 | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Nso
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. -->
... |
juanna/kogpt2_godspell | 08cd21818adb73dca48ea870b2c178587a6c2424 | 2022-07-07T15:21:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | juanna | null | juanna/kogpt2_godspell | 75 | null | transformers | 5,228 | Entry not found |
pszemraj/blooming-pierre-350m | a5f8bef14145778d8a14daf14116f906b02e063d | 2022-07-20T10:03:04.000Z | [
"pytorch",
"tensorboard",
"bloom",
"text-generation",
"transformers",
"generated_from_trainer",
"chatbot",
"license:bigscience-bloom-rail-1.0"
] | text-generation | false | pszemraj | null | pszemraj/blooming-pierre-350m | 75 | null | transformers | 5,229 | ---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
- chatbot
widget:
- text: "If you could live anywhere, where would it be? peter szemraj:"
example_title: "live anywhere"
- text: "What would you sing at Karaoke night? peter szemraj:"
example_title: "Karaoke"
- text: "If you could hire someone ... |
Helsinki-NLP/opus-mt-itc-en | 71c6ca8f06968a05586f9994a23923a798dd9ca0 | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"it",
"ca",
"rm",
"es",
"ro",
"gl",
"sc",
"co",
"wa",
"pt",
"oc",
"an",
"id",
"fr",
"ht",
"itc",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-itc-en | 74 | 1 | transformers | 5,230 | ---
language:
- it
- ca
- rm
- es
- ro
- gl
- sc
- co
- wa
- pt
- oc
- an
- id
- fr
- ht
- itc
- en
tags:
- translation
license: apache-2.0
---
### itc-eng
* source group: Italic languages
* target group: English
* OPUS readme: [itc-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-e... |
Helsinki-NLP/opus-mt-ja-pl | 67dd29eca34688984c0c5a28b6b5fb80ba3a99fa | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ja",
"pl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ja-pl | 74 | null | transformers | 5,231 | ---
language:
- ja
- pl
tags:
- translation
license: apache-2.0
---
### jpn-pol
* source group: Japanese
* target group: Polish
* OPUS readme: [jpn-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-pol/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Han... |
KoichiYasuoka/roberta-small-japanese-aozora-char | dbbd6a003dc65a1876898e3667121ab48265cc94 | 2021-12-23T02:55:42.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ja",
"transformers",
"japanese",
"masked-lm",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/roberta-small-japanese-aozora-char | 74 | null | transformers | 5,232 | ---
language:
- "ja"
tags:
- "japanese"
- "masked-lm"
license: "cc-by-sa-4.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
widget:
- text: "日本に着いたら[MASK]を訪ねなさい。"
---
# roberta-small-japanese-aozora-char
## Model Description
This is a RoBERTa model pre-trained on 青空文庫 texts with character tokenizer. You can fine-tu... |
LeoCordoba/mt5-small-mlsum | 0a25bcbc2f2a0f736c2c2256ed7162b11cdeab7d | 2021-09-22T18:51:29.000Z | [
"pytorch",
"jax",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | LeoCordoba | null | LeoCordoba/mt5-small-mlsum | 74 | 2 | transformers | 5,233 | \n---
language: es
tags:
- summarization
- sagemaker
- mt5
- spanish
license: apache-2.0
datasets:
- mlsum - es
model-index:
- name: mt5-small-mlsum
results:
- task:
name: Abstractive Text Summarization
type: abstractive-text-summarization
dataset:
name: "MLSUM: MultiLingual SUMmarization dat... |
Narrativaai/deberta-v3-small-finetuned-hate_speech18 | bdc0325a39d6ee4aae5c8df4fb21f75bc5323123 | 2021-12-01T17:41:13.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"dataset:hate_speech18",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | Narrativaai | null | Narrativaai/deberta-v3-small-finetuned-hate_speech18 | 74 | 2 | transformers | 5,234 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- hate_speech18
widget:
- text: "ok, so do we need to kill them too or are the slavs okay ? for some reason whenever i hear the word slav , the word slobber comes to mind and i picture a slobbering half breed creature like the humpback of notre dame or Igor haha... |
Wikidepia/IndoT5-base | da8e5576aff97b6e6e08ffa669e34bbf87ca637c | 2021-07-04T06:28:09.000Z | [
"pytorch",
"t5",
"text2text-generation",
"id",
"dataset:allenai/c4",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Wikidepia | null | Wikidepia/IndoT5-base | 74 | null | transformers | 5,235 | ---
language:
- id
datasets:
- allenai/c4
---
# Indonesian T5 Base
T5 (Text-to-Text Transfer Transformer) model pretrained on Indonesian mC4 with [extra filtering](https://github.com/Wikidepia/indonesian_datasets/tree/master/dump/mc4). This model is pre-trained only and needs to be fine-tuned to be used for specific ... |
ethanyt/guwen-seg | 1c91eb965d23400208692246703104632d3687c2 | 2021-06-16T09:58:55.000Z | [
"pytorch",
"roberta",
"token-classification",
"zh",
"transformers",
"chinese",
"classical chinese",
"literary chinese",
"ancient chinese",
"bert",
"sentence segmentation",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | ethanyt | null | ethanyt/guwen-seg | 74 | 2 | transformers | 5,236 | ---
language:
- "zh"
thumbnail: "https://user-images.githubusercontent.com/9592150/97142000-cad08e00-179a-11eb-88df-aff9221482d8.png"
tags:
- "chinese"
- "classical chinese"
- "literary chinese"
- "ancient chinese"
- "bert"
- "pytorch"
- "sentence segmentation"
license: "apache-2.0"
pipeline_tag: "token-classification... |
ghadeermobasher/BC5CDR-Chemical-Disease-balanced-biobert-base-cased-v1.2 | 392e39d04aecc2043a9b3f4fb4f9b0c3a0a23724 | 2022-01-24T18:18:59.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chemical-Disease-balanced-biobert-base-cased-v1.2 | 74 | null | transformers | 5,237 | Entry not found |
hgarg/indian-snacks | f41bea84548e0699bfcba5fdb9e583c321475495 | 2021-07-02T12:15:17.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | hgarg | null | hgarg/indian-snacks | 74 | null | transformers | 5,238 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: indian-snacks
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6499999761581421
---
# indian-snacks
Auto... |
liam168/c2-roberta-base-finetuned-dianping-chinese | 952591d4ffb6df7b674eba74c4e2bb5dc9cb3128 | 2021-07-08T01:50:53.000Z | [
"pytorch",
"bert",
"text-classification",
"zh",
"transformers"
] | text-classification | false | liam168 | null | liam168/c2-roberta-base-finetuned-dianping-chinese | 74 | 5 | transformers | 5,239 | ---
language: zh
widget:
- text: "我喜欢下雨。"
- text: "我讨厌他。"
---
# liam168/c2-roberta-base-finetuned-dianping-chinese
## Model description
用中文对话情绪语料训练的模型，2分类：乐观和悲观。
## Overview
- **Language model**: BertForSequenceClassification
- **Model size**: 410M
- **Language**: Chinese
## Example
```python
>>> from transform... |
m3hrdadfi/hubert-base-persian-speech-emotion-recognition | 823bccf29316b09a8bd4b0b0b14f8c0e70559a17 | 2021-07-27T06:12:21.000Z | [
"pytorch",
"hubert",
"fa",
"dataset:ShEMO",
"transformers",
"audio",
"speech",
"speech-emotion-recognition",
"license:apache-2.0"
] | null | false | m3hrdadfi | null | m3hrdadfi/hubert-base-persian-speech-emotion-recognition | 74 | null | transformers | 5,240 | ---
language: fa
datasets:
- ShEMO
tags:
- audio
- speech
- speech-emotion-recognition
license: apache-2.0
---
# Emotion Recognition in Persian (fa) Speech using HuBERT
## How to use
### Requirements
```bash
# requirement packages
!pip install git+https://github.com/huggingface/datasets.git
!pip install git+https:... |
malay-huggingface/xlnet-base-bahasa-cased | 5b263be1ad7fe2bbb0315dbaf383fc72a301b16f | 2021-09-26T12:52:24.000Z | [
"pytorch",
"xlnet",
"ms",
"transformers"
] | null | false | malay-huggingface | null | malay-huggingface/xlnet-base-bahasa-cased | 74 | null | transformers | 5,241 | ---
language: ms
---
# xlnet-base-bahasa-cased
Pretrained XLNET base language model for Malay.
## Pretraining Corpus
`xlnet-base-bahasa-cased` model was pretrained on ~1.4 Billion words. Below is list of data we trained on,
1. [cleaned local texts](https://github.com/huseinzol05/malay-dataset/tree/master/dumping/c... |
nateraw/trainer-rare-puppers | 1065f55555f64eb628faa95deeb7773f7ff892b0 | 2021-08-23T18:23:54.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | image-classification | false | nateraw | null | nateraw/trainer-rare-puppers | 74 | null | transformers | 5,242 | ---
license: apache-2.0
tags:
- generated_from_trainer
model_index:
- name: trainer-rare-puppers
results:
- task:
name: Image Classification
type: image-classification
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably p... |
nateraw/vit-base-beans-demo-v3 | 9bd75cb16c8e24afd271acd9bfdc2b396a4bf637 | 2021-08-27T17:52:10.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:beans",
"transformers",
"other-image-classification",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | nateraw | null | nateraw/vit-base-beans-demo-v3 | 74 | null | transformers | 5,243 | ---
license: apache-2.0
tags:
- image-classification
- other-image-classification
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: vit-base-beans-demo-v3
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: b... |
nateraw/vit-base-beans-demo | 5e0eb1c0a1ef3ecce423324af227dec6e91d153d | 2021-08-27T17:06:03.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:beans",
"transformers",
"other-image-classification",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | nateraw | null | nateraw/vit-base-beans-demo | 74 | null | transformers | 5,244 | ---
license: apache-2.0
tags:
- image-classification
- other-image-classification
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: vit-base-beans-demo
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: bea... |
ncats/EpiExtract4GARD-v2 | 1f7bd2db72ef416069d73cc41da80d816b485473 | 2022-02-16T00:08:16.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:ncats/EpiSet4NER",
"transformers",
"ncats",
"license:other",
"model-index",
"autotrain_compatible"
] | token-classification | false | ncats | null | ncats/EpiExtract4GARD-v2 | 74 | null | transformers | 5,245 | ---
language:
- en
widget:
- text: "27 patients have been diagnosed with PKU in Iceland since 1947. Incidence 1972-2008 is 1/8400 living births."
example_title: "Named Entity Recognition Ex. 1"
- text: "A retrospective epidemiological study of MPSs in Estonia was undertaken, and live-birth prevalence of MPS patient... |
new5558/simcse-model-wangchanberta-base-att-spm-uncased | 699d9653cea5b7bfc5d17a3c8965a06a93d02e7f | 2021-12-19T13:01:31.000Z | [
"pytorch",
"camembert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | new5558 | null | new5558/simcse-model-wangchanberta-base-att-spm-uncased | 74 | null | sentence-transformers | 5,246 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# new5558/simcse-model-wangchanberta-base-att-spm-uncased
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector s... |
nickmuchi/vit-base-beans | ce033b10ca3ee66e68ccc8b973a1cf8fca1f5de0 | 2022-06-28T03:26:10.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:beans",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | nickmuchi | null | nickmuchi/vit-base-beans | 74 | null | transformers | 5,247 | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
datasets:
- beans
widget:
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/healthy.jpeg
example_title: Healthy
- src: https://huggingface.co/nateraw/vit-base-beans/resolve/main/angular_leaf_spot.jpeg
example_title: Angula... |
nielsr/beit-base-patch16-224 | 7ad81663e30d294727629c136ace319a8b875fa6 | 2021-09-13T13:36:43.000Z | [
"pytorch",
"jax",
"beit",
"image-classification",
"dataset:imagenet",
"dataset:imagenet-21k",
"arxiv:2106.08254",
"transformers",
"license:apache-2.0"
] | image-classification | false | nielsr | null | nielsr/beit-base-patch16-224 | 74 | null | transformers | 5,248 | ---
license: apache-2.0
tags:
- image-classification
datasets:
- imagenet
- imagenet-21k
---
# BEiT (base-sized model, fine-tuned on ImageNet-1k after being intermediately fine-tuned on ImageNet-22k)
BEiT (BERT pre-training of Image Transformers) model pre-trained in a self-supervised way on ImageNet-22k (14 million... |
osanseviero/hugging-geese | 94093e65e5da99caf0a2e1fce2be27047645fbf7 | 2021-12-12T20:09:38.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | osanseviero | null | osanseviero/hugging-geese | 74 | 2 | transformers | 5,249 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: hugging-geese
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9642857313156128
---
# hugging-geese
Auto... |
pierric/ny-cr-fr | bb0af62c1acbe7933440458ede72a802de474465 | 2021-07-01T20:44:14.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | pierric | null | pierric/ny-cr-fr | 74 | null | transformers | 5,250 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ny-cr-fr
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9305555820465088
---
# ny-cr-fr
Autogenerated ... |
readerbench/RoBERT-small | 25da1be3b351e8c2899e13b6b133338b3a92f00c | 2021-05-20T04:10:36.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"ro",
"transformers"
] | null | false | readerbench | null | readerbench/RoBERT-small | 74 | null | transformers | 5,251 | Model card for RoBERT-small
---
language:
- ro
---
# RoBERT-small
## Pretrained BERT model for Romanian
Pretrained model on Romanian language using a masked language modeling (MLM) and next sentence prediction (NSP) objective.
It was introduced in this [paper](https://www.aclweb.org/anthology/2020.coling-main.5... |
satvikag/chatbot2 | 3b19043b3ff06eda075f7a0c091a3fd9d6280805 | 2021-06-08T22:29:12.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"license:mit"
] | conversational | false | satvikag | null | satvikag/chatbot2 | 74 | 1 | transformers | 5,252 | ---
tags:
- conversational
license: mit
---
# DialoGPT Trained on the Speech of a Game Character
This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on a game character, Joshua from [The World Ends With You](https://en.wikipedia.org/wiki/The_World_Ends_with_You).... |
stanford-crfm/caprica-gpt2-small-x81 | bae7576eb5b85289296a86565959caedbbabe3f7 | 2022-06-20T09:47:11.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | stanford-crfm | null | stanford-crfm/caprica-gpt2-small-x81 | 74 | null | transformers | 5,253 | Entry not found |
transformersbook/codeparrot-small | 4e8cbf67340eb5f22aef8312f7fc1873c1abf945 | 2022-02-05T16:28:36.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | transformersbook | null | transformersbook/codeparrot-small | 74 | null | transformers | 5,254 | # CodeParrot
CodeParrot (small) is a 110M parameter GPT-2 model trained on the [CodeParrot Python code dataset](https://huggingface.co/datasets/transformersbook/codeparrot). The model is trained in Chapter 10: Training Transformers from Scratch in the [NLP with Transformers book](https://learning.oreilly.com/library/v... |
eren23/pneumonia_test_attempt | 170d8d45e38a15725006609b0289ad6cd4893276 | 2022-04-01T14:41:01.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | eren23 | null | eren23/pneumonia_test_attempt | 74 | null | transformers | 5,255 |
---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: pneumonia_test_attempt
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9783163070678711
---
# pneumonia-... |
uer/pegasus-large-chinese-cluecorpussmall | 09b92b8ebd95d6122614565e2e06dc56bcb97e45 | 2022-07-15T08:18:22.000Z | [
"pytorch",
"tf",
"pegasus",
"text2text-generation",
"zh",
"dataset:CLUECorpusSmall",
"arxiv:1909.05658",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uer | null | uer/pegasus-large-chinese-cluecorpussmall | 74 | 1 | transformers | 5,256 | ---
language: zh
datasets: CLUECorpusSmall
widget:
- text: "内容丰富、版式设计考究、图片华丽、印制精美。[MASK]纸箱内还放了充气袋用于保护。"
---
# Chinese Pegasus
## Model description
This model is pre-trained by [UER-py](https://github.com/dbiir/UER-py/), which is introduced in [this paper](https://arxiv.org/abs/1909.05658).
You can download the s... |
lazyturtl/WEC-types | 2455424d6c41a1c59e21a129443b850d922da1a6 | 2022-03-22T04:54:04.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | lazyturtl | null | lazyturtl/WEC-types | 74 | null | transformers | 5,257 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: WEC-types
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.7830188870429993
---
# WEC-types
Autogenerate... |
ml6team/keyphrase-extraction-distilbert-openkp | b4891099f66c0ffc843c8920ba235830aeda493e | 2022-06-16T14:08:38.000Z | [
"pytorch",
"distilbert",
"token-classification",
"en",
"dataset:midas/openkp",
"arxiv:1911.02671",
"transformers",
"keyphrase-extraction",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | ml6team | null | ml6team/keyphrase-extraction-distilbert-openkp | 74 | null | transformers | 5,258 | ---
language: en
license: mit
tags:
- keyphrase-extraction
datasets:
- midas/openkp
metrics:
- seqeval
widget:
- text: "Keyphrase extraction is a technique in text analysis where you extract the important keyphrases from a document.
Thanks to these keyphrases humans can understand the content of a text very quickly a... |
Symbermine/rare-puppers | b4d7d014bdc0a584ca580856ff4e32a6f735b7e9 | 2022-03-28T19:38:23.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Symbermine | null | Symbermine/rare-puppers | 74 | null | transformers | 5,259 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9285714030265808
---
# rare-puppers
Autoge... |
AykeeSalazar/vit-base-patch16-224-in21k-bantai_vitv1 | 53e4a2086139bc8a12e83346c54bd0b827c85783 | 2022-04-03T02:43:41.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | AykeeSalazar | null | AykeeSalazar/vit-base-patch16-224-in21k-bantai_vitv1 | 74 | null | transformers | 5,260 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224-in21k-bantai_vitv1
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
arg... |
AykeeSalazar/violation-classification-bantai_vit | bc4945f0d2111c501e17f026802428d7b26cd863 | 2022-04-03T12:26:48.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | AykeeSalazar | null | AykeeSalazar/violation-classification-bantai_vit | 74 | null | transformers | 5,261 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
model-index:
- name: violation-classification-bantai_vit
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... |
AykeeSalazar/violation-classification-bantai-vit-v100ep | 25fc8b89a3f4703848c54bd9692b553e8de1349d | 2022-04-03T16:16:07.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | AykeeSalazar | null | AykeeSalazar/violation-classification-bantai-vit-v100ep | 74 | null | transformers | 5,262 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: violation-classification-bantai-vit-v100ep
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
... |
AykeeSalazar/violation-classification-bantai-vit-withES | 41093664530d10085d40317c10b15b02eba52dce | 2022-04-18T12:34:09.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | AykeeSalazar | null | AykeeSalazar/violation-classification-bantai-vit-withES | 74 | null | transformers | 5,263 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
model-index:
- name: violation-classification-bantai-vit-withES
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... |
GroNLP/wav2vec2-large-xlsr-53-ft-cgn | 0837ce3c1e2dbd29dc4657d3bc23476c723242ba | 2022-04-08T12:50:56.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"nl",
"transformers",
"speech"
] | automatic-speech-recognition | false | GroNLP | null | GroNLP/wav2vec2-large-xlsr-53-ft-cgn | 74 | null | transformers | 5,264 | ---
language: nl
tags:
- speech
---
# Wav2Vec2-Large-XLSR-53-ft-CGN
This model is created by fine-tuning the [`facebook/wav2vec2-large-xlsr-53`](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) model on Dutch speech from [Het Corpus Gesproken Nederlands](https://taalmaterialen.ivdnt.org/download/tstc-corpus-ge... |
Matthijs/snacks-classifier | 8fac3d4fb7bd0f60159a05253d39849ca6195c83 | 2022-04-14T09:39:49.000Z | [
"pytorch",
"swin",
"image-classification",
"transformers"
] | image-classification | false | Matthijs | null | Matthijs/snacks-classifier | 74 | null | transformers | 5,265 | `microsoft/swin-tiny-patch4-window7-224` fine-tuned on the `Matthijs/snacks` dataset.
Test set accuracy after 50 epochs: 0.9286.
|
DmitryPogrebnoy/MedRuRobertaLarge | 442e5b902e9c3c3f084ff6f4a9311120b94a0cf4 | 2022-05-03T14:34:22.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"license:gpl-3.0",
"autotrain_compatible"
] | fill-mask | false | DmitryPogrebnoy | null | DmitryPogrebnoy/MedRuRobertaLarge | 74 | null | transformers | 5,266 | ---
license: gpl-3.0
---
|
obrizum/all-mpnet-base-v2 | 147cb322619d2a01ce6c4a2b880aac21a50af4a4 | 2022-05-05T12:38:54.000Z | [
"pytorch",
"mpnet",
"fill-mask",
"en",
"arxiv:1904.06472",
"arxiv:2102.07033",
"arxiv:2104.08727",
"arxiv:1704.05179",
"arxiv:1810.09305",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"license:apache-2.0"
] | feature-extraction | false | obrizum | null | obrizum/all-mpnet-base-v2 | 74 | null | sentence-transformers | 5,267 | ---
pipeline_tag: feature-extraction
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
---
# all-mpnet-base-v2
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 fo... |
theojolliffe/bart-cnn-pubmed-arxiv | 8436c0a1355ab6885c6d4d3a6828926cd4c49568 | 2022-05-07T14:55:00.000Z | [
"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-pubmed-arxiv | 74 | null | transformers | 5,268 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: bart-large-cnn-finetuned-pubmed-finetuned-pubmedarxiv
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: scientific_papers
... |
Hijazzi/rare-puppers | 00525b8b771cf110101c10c2a8048ac66d750cca | 2022-05-17T02:56:22.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Hijazzi | null | Hijazzi/rare-puppers | 74 | null | transformers | 5,269 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9701492786407471
---
# rare-puppers
Autoge... |
waboucay/camembert-large-finetuned-repnum_wl_3_classes | f96d9876add078e78f7995bee79873166275962b | 2022-06-19T14:30:19.000Z | [
"pytorch",
"camembert",
"text-classification",
"fr",
"transformers",
"nli"
] | text-classification | false | waboucay | null | waboucay/camembert-large-finetuned-repnum_wl_3_classes | 74 | null | transformers | 5,270 | ---
language:
- fr
tags:
- nli
metrics:
- f1
---
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:
| Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 79.4 | 79.4 |
| test ... |
svalabs/mt5-large-german-query-gen-v1 | 1ab376385b5d0e517dfef1708dd0166e3b1bff29 | 2022-06-29T10:08:22.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"de",
"dataset:unicamp-dl/mmarco",
"dataset:deepset/germanquad",
"arxiv:1904.08375",
"arxiv:1908.10084",
"arxiv:1611.09268",
"arxiv:2104.12741",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | svalabs | null | svalabs/mt5-large-german-query-gen-v1 | 74 | null | transformers | 5,271 | ---
language:
- de
datasets:
- unicamp-dl/mmarco
- deepset/germanquad
widget:
- text: "Python ist eine universelle, üblicherweise interpretierte, höhere Programmiersprache. Sie hat den Anspruch, einen gut lesbaren, knappen Programmierstil zu fördern. So werden beispielsweise Blöcke nicht durch geschweifte Klammern, son... |
dddb/autotrain-test-1088139436 | 063f9dac2a45bcd24f4a8c72e7e8de7a6f534ae1 | 2022-07-05T05:34:17.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"unk",
"dataset:dddb/autotrain-data-test",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | dddb | null | dddb/autotrain-test-1088139436 | 74 | null | transformers | 5,272 | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- dddb/autotrain-data-test
co2_eq_emissions: 0.12204059403697107
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1088139436
- CO2 Emissions (in grams): 0.12204059403697107
## Validation Metrics
- Loss: 2.... |
Shaier/medqa_fine_tuned_linkbert | e5f165a0c4636faee55c2fdab4d960744ffca1bc | 2022-07-12T04:48:24.000Z | [
"pytorch",
"bert",
"multiple-choice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | multiple-choice | false | Shaier | null | Shaier/medqa_fine_tuned_linkbert | 74 | null | transformers | 5,273 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: medqa_fine_tuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... |
robingeibel/reformer-finetuned-big_patent-wikipedia-arxiv-16384 | 90d8cdd6ff7d8aef26d6225f17e3305919fe37c5 | 2022-07-19T10:13:35.000Z | [
"pytorch",
"tensorboard",
"reformer",
"fill-mask",
"dataset:wikipedia",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | robingeibel | null | robingeibel/reformer-finetuned-big_patent-wikipedia-arxiv-16384 | 74 | null | transformers | 5,274 | ---
tags:
- generated_from_trainer
datasets:
- wikipedia
model-index:
- name: reformer-finetuned-big_patent-wikipedia-arxiv-16384
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove th... |
deepset/deberta-v3-base-squad2 | 2795a738ac5f75aeaf548e2f5a888ef5dbb5e1bc | 2022-07-26T11:05:15.000Z | [
"pytorch",
"deberta-v2",
"question-answering",
"en",
"dataset:squad_v2",
"transformers",
"deberta",
"deberta-v3",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | deepset | null | deepset/deberta-v3-base-squad2 | 74 | 2 | transformers | 5,275 | ---
language: en
datasets:
- squad_v2
license: cc-by-4.0
tags:
- deberta
- deberta-v3
model-index:
- name: deepset/deberta-v3-base-squad2
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
config: squad_v2
split: validati... |
Helsinki-NLP/opus-tatoeba-en-tr | 3f71b6b2d6aebd30da503a14f6f565d9c8a56735 | 2021-10-06T08:37:33.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"tr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-tatoeba-en-tr | 73 | 3 | transformers | 5,276 | ---
language:
- en
- tr
tags:
- translation
license: apache-2.0
---
### en-tr
* source group: English
* target group: Turkish
* OPUS readme: [eng-tur](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-tur/README.md)
* model: transformer-align
* source language(s): eng
* target language(s)... |
KBLab/roberta-base-swedish-cased | f9d0a0f9a75669e1073be695547e5de8064ba36e | 2021-08-23T09:54:00.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | KBLab | null | KBLab/roberta-base-swedish-cased | 73 | null | transformers | 5,277 | # Roberta base TEST |
Kirili4ik/ruDialoGpt3-medium-finetuned-telegram-6ep | 23895f4b9dd2aa52609b08710e1f6c0320723e2d | 2021-10-25T20:23:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | Kirili4ik | null | Kirili4ik/ruDialoGpt3-medium-finetuned-telegram-6ep | 73 | null | transformers | 5,278 | Entry not found |
KoichiYasuoka/chinese-bert-wwm-ext-upos | 2ec698af3f7a07e9694f0fac3a90152be0763d10 | 2022-02-11T06:27:34.000Z | [
"pytorch",
"bert",
"token-classification",
"zh",
"dataset:universal_dependencies",
"transformers",
"chinese",
"pos",
"wikipedia",
"dependency-parsing",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/chinese-bert-wwm-ext-upos | 73 | 1 | transformers | 5,279 | ---
language:
- "zh"
tags:
- "chinese"
- "token-classification"
- "pos"
- "wikipedia"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "token-classification"
---
# chinese-bert-wwm-ext-upos
## Model Description
This is a BERT model pre-trained on Chinese Wikipedia texts... |
Sena/dog | 489790d71512be113cf773cec4a2927059f3be7b | 2021-07-03T19:55:49.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Sena | null | Sena/dog | 73 | null | transformers | 5,280 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: dog
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9583333134651184
---
# dog
Autogenerated by Hugging... |
abhi1nandy2/Bible-roberta-base | a141a1b900787bb578ca10348df1999658573180 | 2022-05-23T20:08:48.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"en",
"transformers",
"English",
"Bible",
"autotrain_compatible"
] | fill-mask | false | abhi1nandy2 | null | abhi1nandy2/Bible-roberta-base | 73 | null | transformers | 5,281 | ---
language: "en"
tags:
- English
- Bible
dataset:
- English Bible Translation Dataset
- Link: https://www.kaggle.com/oswinrh/bible
inference: false
---
## Dataset
English Bible Translation Dataset (https://www.kaggle.com/oswinrh/bible)
*NOTE:* It is `roberta-base` fine-tuned (for MLM objective) for 1 epoch (u... |
briverse/vi-electra-small-uncased | 2dc43f98587cb186c69664d86fcd6b9f44199e6f | 2021-02-04T14:02:30.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | briverse | null | briverse/vi-electra-small-uncased | 73 | null | transformers | 5,282 | Entry not found |
dbmdz/bert-base-historic-multilingual-cased | 3e7ff2b77ba664893c61c2964789008ab752522c | 2022-06-03T09:41:46.000Z | [
"pytorch",
"jax",
"tensorboard",
"bert",
"fill-mask",
"multilingual",
"arxiv:2205.15575",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | dbmdz | null | dbmdz/bert-base-historic-multilingual-cased | 73 | 1 | transformers | 5,283 | ---
language: multilingual
license: mit
widget:
- text: "and I cannot conceive the reafon why [MASK] hath"
- text: "Täkäläinen sanomalehdistö [MASK] erit - täin"
- text: "Det vore [MASK] häller nödvändigt att be"
- text: "Comme, à cette époque [MASK] était celle de la"
- text: "In [MASK] an atmosphärischen Nahrungsmitt... |
edumunozsala/RuPERTa_base_sentiment_analysis_es | dcc378b688f6a7322ece94a08f6bee85a3f98917 | 2021-12-12T18:40:41.000Z | [
"pytorch",
"roberta",
"text-classification",
"es",
"dataset:IMDbreviews_es",
"transformers",
"sagemaker",
"ruperta",
"TextClassification",
"SentimentAnalysis",
"license:apache-2.0"
] | text-classification | false | edumunozsala | null | edumunozsala/RuPERTa_base_sentiment_analysis_es | 73 | 1 | transformers | 5,284 | ---
language: es
tags:
- sagemaker
- ruperta
- TextClassification
- SentimentAnalysis
license: apache-2.0
datasets:
- IMDbreviews_es
model-index:
name: RuPERTa_base_sentiment_analysis_es
results:
- task:
name: Sentiment Analysis
type: sentiment-analysis
- dataset:
name: "IMD... |
ferdinand/rare-puppers | e3c769fb9e65e74368948cf05b4e9651bff93b39 | 2021-07-02T11:46:09.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | ferdinand | null | ferdinand/rare-puppers | 73 | null | transformers | 5,285 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9861111044883728
---
# rare-puppers
Autoge... |
flax-community/ft5-cnn-dm | 859350e337148108b32b6f9eef45d0d4c6b668a9 | 2021-07-15T05:42:51.000Z | [
"pytorch",
"jax",
"tensorboard",
"f_t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | flax-community | null | flax-community/ft5-cnn-dm | 73 | 1 | transformers | 5,286 | Entry not found |
google/t5-11b-ssm-nq | 2d58357d4a3c78d446f1a736d3c9623683a9bf04 | 2020-12-07T08:40:00.000Z | [
"pytorch",
"tf",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"dataset:wikipedia",
"dataset:natural_questions",
"arxiv:2002.08909",
"arxiv:1910.10683",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-11b-ssm-nq | 73 | null | transformers | 5,287 | ---
language: en
datasets:
- c4
- wikipedia
- natural_questions
pipeline_tag: text2text-generation
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) for **Closed Book Question Answering**.
The model was pre-trained using T5's denoising objective on [C... |
huggingtweets/spam_can | 0d9055ce3e4a0938c8fd82120906201972156dc7 | 2021-05-22T23:38:14.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/spam_can | 73 | null | transformers | 5,288 | ---
language: en
thumbnail: https://www.huggingtweets.com/spam_can/1617789719879/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1370899730826399... |
jasmeen/dogs | 100e2b8a46763b802dae850b795edc6f1473fc73 | 2021-06-30T04:19:28.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | jasmeen | null | jasmeen/dogs | 73 | null | transformers | 5,289 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: dogs
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 1.0
---
# dogs
Autogenerated by HuggingPics🤗🖼️
## ... |
jeffboudier/vision-transformers-spain-or-italy-fan | 5de2c0126ad6faba5e84088300927a21fd9ae2e3 | 2021-07-05T12:29:03.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | jeffboudier | null | jeffboudier/vision-transformers-spain-or-italy-fan | 73 | null | transformers | 5,290 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: vision-transformers--spain-or-italy-fan
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.5666666626930237
-... |
lewtun/bert-large-uncased-wwm-finetuned-boolq | 171d75aa438bd238c9c75b9390f169323d4666f2 | 2021-05-19T21:27:34.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | lewtun | null | lewtun/bert-large-uncased-wwm-finetuned-boolq | 73 | null | transformers | 5,291 | Entry not found |
marefa-nlp/marefa-mt-en-ar | 7152be23d6024dda7ef70437a85fd1407fc9ac19 | 2021-09-22T08:59:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ar",
"dataset:marefa-mt",
"transformers",
"translation",
"Arabic Abjad Characters",
"Arabic",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | marefa-nlp | null | marefa-nlp/marefa-mt-en-ar | 73 | 2 | transformers | 5,292 | ---
language:
- en
- ar
tags:
- translation
- Arabic Abjad Characters
- Arabic
license: apache-2.0
datasets:
- marefa-mt
---
# Marefa-Mt-En-Ar
# نموذج المعرفة للترجمة الآلية من الإنجليزية للعربية
## Model description
This is a model for translating English to Arabic. The special about this model that is take... |
micole66/dwarf-goats | c778553438dbed1b9f67feb490433032a9fe5c95 | 2021-07-02T16:34:53.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | micole66 | null | micole66/dwarf-goats | 73 | null | transformers | 5,293 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: dwarf-goats
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6111111044883728
---
# dwarf-goats
Autogene... |
nateraw/pasta-shapes | 39adade0410ec37e9b3c96cd74f5058ea2f71180 | 2021-11-09T22:37:03.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | nateraw | null | nateraw/pasta-shapes | 73 | null | transformers | 5,294 | ---
license: apache-2.0
tags:
- image-classification
- huggingpics
- generated_from_trainer
model-index:
- name: pasta-shapes
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 c... |
nateraw/rare-puppers-demo | 86e345930aeba5dd5c936983633380b82ef3bb61 | 2021-12-17T22:48:47.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | nateraw | null | nateraw/rare-puppers-demo | 73 | null | transformers | 5,295 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers-demo
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9101123809814453
---
# rare-puppers-dem... |
nazmiasri/property-description-gpt2 | e69d6997bdb10046b7f08bf78c25a630e75ae106 | 2021-05-23T10:45:19.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | nazmiasri | null | nazmiasri/property-description-gpt2 | 73 | null | transformers | 5,296 | Entry not found |
nielsr/vit-base-patch16-224-in21k-finetuned-cifar10 | 6831d3c47ce5de2088e8557ea5b336d15e74ab05 | 2022-04-11T12:02:33.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | nielsr | null | nielsr/vit-base-patch16-224-in21k-finetuned-cifar10 | 73 | null | transformers | 5,297 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224-in21k-finetuned-cifar10
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
... |
pucpr/clinicalnerpt-chemical | 92fe529e3d05618f1a69ac45332f0b1fe72c1d62 | 2021-10-13T09:33:30.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"pt",
"dataset:SemClinBr",
"transformers",
"autotrain_compatible"
] | token-classification | false | pucpr | null | pucpr/clinicalnerpt-chemical | 73 | 3 | transformers | 5,298 | ---
language: "pt"
widget:
- text: "Dispneia venoso central em subclavia D duplolumen recebendo solução salina e glicosada em BI."
- text: "Paciente com Sepse pulmonar em D8 tazocin (paciente não recebeu por 2 dias Atb)."
- text: "FOI REALIZADO CURSO DE ATB COM LEVOFLOXACINA POR 7 DIAS."
datasets:
- SemClinBr
thumbna... |
thak123/indian-snacks | 03994d012f11fd6fe77e9888abeea888504b1189 | 2021-07-02T09:19:44.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | thak123 | null | thak123/indian-snacks | 73 | null | transformers | 5,299 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: indian-snacks
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6696428656578064
---
# indian-snacks
Auto... |
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