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values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
jhonparra18/distilbert-base-multilingual-cased-cv-studio_name-pooler | d9962ec33f58cf75e7da5d305eb758eccabae817 | 2022-07-26T21:05:44.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jhonparra18 | null | jhonparra18/distilbert-base-multilingual-cased-cv-studio_name-pooler | 1 | null | transformers | 33,500 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-multilingual-cased-cv-studio_name-pooler
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comp... |
huggingtweets/rubberpomade | ac0e75bace40fe8fb131f15d3e5fa18b7d6a5b3a | 2022-07-26T20:54:43.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/rubberpomade | 1 | null | transformers | 33,501 | ---
language: en
thumbnail: http://www.huggingtweets.com/rubberpomade/1658868837178/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; wi... |
JoAmps/xlm-roberta-base-finetuned-panx-de | 583610ec72d087883e870a68a7bd08e0b1057d0d | 2022-07-26T21:36:51.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | JoAmps | null | JoAmps/xlm-roberta-base-finetuned-panx-de | 1 | null | transformers | 33,502 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name:... |
Jmolano/bert-finetuned-ner | 7a24ceb6843f0c1cc5c3c1abdac922a56ad13ca7 | 2022-07-28T02:51:07.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Jmolano | null | Jmolano/bert-finetuned-ner | 1 | null | transformers | 33,503 | ---
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
config:... |
ultra-coder54732/MiniLM-prop-16-train-set | dbff5509ce18f343c7dd445f96297b8470ded24a | 2022-07-27T00:45:54.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | ultra-coder54732 | null | ultra-coder54732/MiniLM-prop-16-train-set | 1 | null | transformers | 33,504 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: MiniLM-prop-16-train-set
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. -->
# MiniLM-prop-16-tr... |
rosicast/hubert-base-ls960-korean-zeroth-kspon-jamo | 522b3350e646dda67581bd5eea24b2d3b80a9827 | 2022-07-29T00:00:30.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | rosicast | null | rosicast/hubert-base-ls960-korean-zeroth-kspon-jamo | 1 | null | transformers | 33,505 | Entry not found |
rosicast/hubert-large-ll60k-korean-zeroth-kspon-jamo | b451e28eb4f7ef70c373c439cb6fad98f0cc90c2 | 2022-07-29T04:07:24.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | rosicast | null | rosicast/hubert-large-ll60k-korean-zeroth-kspon-jamo | 1 | null | transformers | 33,506 | Entry not found |
voidful/phoneme-longt5-local | ce23e358c71151dae37c3b0b18d3d72b83f09730 | 2022-07-27T03:09:41.000Z | [
"pytorch",
"longt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | voidful | null | voidful/phoneme-longt5-local | 1 | null | transformers | 33,507 | Entry not found |
Atif-Memon/tRAINING-DATASET-All-files-final | 42484edf75f97293493e939adddd00871e4d4d03 | 2022-07-29T19:43:49.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | Atif-Memon | null | Atif-Memon/tRAINING-DATASET-All-files-final | 1 | null | transformers | 33,508 | Entry not found |
SummerChiam/pond_image_classification_8 | c0954f45620807f9cee4e4f835d3215614b7615a | 2022-07-27T05:26:02.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | SummerChiam | null | SummerChiam/pond_image_classification_8 | 1 | null | transformers | 33,509 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: pond_image_classification_2
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9948979616165161
---
# pond_i... |
IDEA-CCNL/Erlangshen-ZEN2-668M-Chinese | d4a2ddc12635a4fc6bd4756dbce2e5872d9c8162 | 2022-07-27T09:32:12.000Z | [
"pytorch",
"zh",
"arxiv:2105.01279",
"transformers",
"ZEN",
"chinese",
"license:apache-2.0"
] | null | false | IDEA-CCNL | null | IDEA-CCNL/Erlangshen-ZEN2-668M-Chinese | 1 | null | transformers | 33,510 | ---
language:
- zh
license: apache-2.0
tags:
- ZEN
- chinese
inference: false
---
# Erlangshen-ZEN2-668M-Chinese, one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM).
Erlangshen-ZEN2-668M-Chinese is an open-source Chinese pre-training model of the ZEN team on the [Fengshenbang-LM](https:... |
PGT/graphnystromformer-artificial-balanced-max500-210000-1 | 55e746110f19f8a35180f0a114868cc1b8ce4222 | 2022-07-27T11:15:12.000Z | [
"pytorch",
"graph_nystromformer",
"text-classification",
"transformers"
] | text-classification | false | PGT | null | PGT/graphnystromformer-artificial-balanced-max500-210000-1 | 1 | null | transformers | 33,511 | Entry not found |
Billwzl/20split_dataset_version3 | 1499b785d996196ede81499f152afd0d6e1600f1 | 2022-07-28T16:20:35.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Billwzl | null | Billwzl/20split_dataset_version3 | 1 | null | transformers | 33,512 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: 20split_dataset_version3
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. -->
# 20split_da... |
domenicrosati/deberta-v3-large-finetuned-synthetic-paraphrase-only | 6388a91011a915cb3459a1338c4c41c28857c9ad | 2022-07-28T21:38:33.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | domenicrosati | null | domenicrosati/deberta-v3-large-finetuned-synthetic-paraphrase-only | 1 | null | transformers | 33,513 | ---
license: mit
tags:
- text-classification
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: deberta-v3-large-finetuned-synthetic-paraphrase-only
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... |
ibm/re2g-generation-nq | 60ba54b61fa68c49b9de6ea45a3bcf6f657cb547 | 2022-07-29T16:03:57.000Z | [
"pytorch",
"rag",
"transformers",
"license:apache-2.0"
] | null | false | ibm | null | ibm/re2g-generation-nq | 1 | null | transformers | 33,514 | ---
license: apache-2.0
---
|
schnell/gpt2-xl-japanese | c692bb85d76751b2faeae4e10786ca0b40036cbf | 2022-07-27T23:33:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | schnell | null | schnell/gpt2-xl-japanese | 1 | null | transformers | 33,515 | Entry not found |
AykeeSalazar/vc-bantai-vit-withoutAMBI-adunest-trial | daa714f61d757611eb20c0d85867064527bb3518 | 2022-07-28T01:02:09.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:imagefolder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | AykeeSalazar | null | AykeeSalazar/vc-bantai-vit-withoutAMBI-adunest-trial | 1 | null | transformers | 33,516 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: vc-bantai-vit-withoutAMBI-adunest-trial
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
args: ... |
huggingtweets/penguinnnno | c7ce29629a3d452ff45968ebcd71bacbdd4297dc | 2022-07-28T01:35:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/penguinnnno | 1 | null | transformers | 33,517 | ---
language: en
thumbnail: http://www.huggingtweets.com/penguinnnno/1658971968390/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; wid... |
razhan/codeqmul-tokenizer | 7bcab7cd893f37066f4bd52b8fedb753f67b8dd1 | 2022-07-28T12:28:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | razhan | null | razhan/codeqmul-tokenizer | 1 | null | transformers | 33,518 | Entry not found |
Lvxue/finetuned-mt5-base | b16fdfee186d119492a59df677c58072e37b113f | 2022-07-30T10:02:58.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Lvxue | null | Lvxue/finetuned-mt5-base | 1 | null | transformers | 33,519 | Entry not found |
razhan/codeqmul-large | 84fb157a53d01f388790b45fb1941f53dfa04f1b | 2022-07-28T02:07:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | razhan | null | razhan/codeqmul-large | 1 | null | transformers | 33,520 | Entry not found |
AnonymousSub/recipes-roberta-base-tokenwise-token-and-step-losses_no_ingr | a8556cae93d3acd499d5bd49df5d980ef387d467 | 2022-07-28T02:12:20.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | AnonymousSub | null | AnonymousSub/recipes-roberta-base-tokenwise-token-and-step-losses_no_ingr | 1 | null | transformers | 33,521 | Entry not found |
Jmolano/bert-finetuned-ner-accelerate | a6bd4c3c93895afb5d5578707d641dcf00ec7e7a | 2022-07-28T03:15:12.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Jmolano | null | Jmolano/bert-finetuned-ner-accelerate | 1 | null | transformers | 33,522 | Entry not found |
amartyobanerjee/distilbert-base-uncased-finetuned-imdb | 96379aa5271a42eed8600d52b692ff85bcb96f32 | 2022-07-28T09:45:35.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | amartyobanerjee | null | amartyobanerjee/distilbert-base-uncased-finetuned-imdb | 1 | null | transformers | 33,523 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove ... |
jaeyeon/korean-aihub-learning-math-16batch | 5937917ca56b08d03980e92e0842a62f9ab8f7cb | 2022-07-28T08:13:59.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | jaeyeon | null | jaeyeon/korean-aihub-learning-math-16batch | 1 | null | transformers | 33,524 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: korean-aihub-learning-math-16batch
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. -->
# ... |
amartyobanerjee/distilbert-base-uncased-whole-word-word-ids-finetuned-imdb | 7db323fe6e616d9b2b97918f05df9de5fb2f7360 | 2022-07-28T10:01:48.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | amartyobanerjee | null | amartyobanerjee/distilbert-base-uncased-whole-word-word-ids-finetuned-imdb | 1 | null | transformers | 33,525 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-whole-word-word-ids-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... |
Atharvgarg/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news | a40504b3140d80a6eb64a7c7524d55fca156f654 | 2022-07-28T15:22:19.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"summarisation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Atharvgarg | null | Atharvgarg/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news | 1 | null | transformers | 33,526 | ---
license: apache-2.0
tags:
- summarisation
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. Yo... |
Vlasta/DNADebertaSentencepiece10k | 30a2398fc69654482e85b875ae4d64a14fe1053a | 2022-07-28T16:12:43.000Z | [
"pytorch",
"deberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Vlasta | null | Vlasta/DNADebertaSentencepiece10k | 1 | null | transformers | 33,527 | Entry not found |
qinzhen4/finetuning-sentiment-model-3000-samples | bb1dd45f1c89291cb82f54ecc2659a7c3d2bfcc8 | 2022-07-29T18:57:03.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | qinzhen4 | null | qinzhen4/finetuning-sentiment-model-3000-samples | 1 | null | transformers | 33,528 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
... |
Atharvgarg/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-Sumy | dc9cdcf435be23f4f557bd587d79abf8fb8170de | 2022-07-28T23:32:03.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"summarisation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Atharvgarg | null | Atharvgarg/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-Sumy | 1 | null | transformers | 33,529 | ---
license: apache-2.0
tags:
- summarisation
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-Sumy
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access t... |
platzi/platzi-vit_model | 5a87b9520561f6050f7b96bcb7271983ebfaffbe | 2022-07-29T15:42:58.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:beans",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | platzi | null | platzi/platzi-vit_model | 1 | null | transformers | 33,530 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: platzi-vit_model
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: beans
config: default
split: train
args: ... |
rosicast/hubert-base-ls960-korean-zeroth-char | d1335dacf8d2db1aa2d280a7e49536b5021df15d | 2022-07-30T10:03:01.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | rosicast | null | rosicast/hubert-base-ls960-korean-zeroth-char | 1 | null | transformers | 33,531 | Entry not found |
eclat12450/fine-tuned-NSPKcBert-v3-10 | 25f2d6963c9f48c30dfb8ec807a8d0c7415ce319 | 2022-07-29T02:59:42.000Z | [
"pytorch",
"bert",
"next-sentence-prediction",
"transformers"
] | null | false | eclat12450 | null | eclat12450/fine-tuned-NSPKcBert-v3-10 | 1 | null | transformers | 33,532 | Entry not found |
ArnavL/roberta-10M-imdb-0 | e456c11aa194384987f95cd4df8c9fb4e597d17c | 2022-07-29T03:42:02.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ArnavL | null | ArnavL/roberta-10M-imdb-0 | 1 | null | transformers | 33,533 | Entry not found |
rosicast/hubert-large-ll60k-korean-zeroth-char | 0f325735c802b5a7cc224b134b56af2fbe682755 | 2022-07-30T09:25:43.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | rosicast | null | rosicast/hubert-large-ll60k-korean-zeroth-char | 1 | null | transformers | 33,534 | Entry not found |
chintagunta85/test_ner_5 | 1c51c6f319a8c3f0cc0171cfb99e43680f1b5c89 | 2022-07-29T06:19:35.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | chintagunta85 | null | chintagunta85/test_ner_5 | 1 | null | transformers | 33,535 | Entry not found |
Doohae/lassl-koelectra-small | 620ab9ad76849e86e4094afa17af0f4486123bc4 | 2022-07-29T07:28:48.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | Doohae | null | Doohae/lassl-koelectra-small | 1 | null | transformers | 33,536 | # ELECTRA discriminator small
- pretrained with large Korean corpus datasets (30GB)
- 13.7M model parameters (followed google/electra-small-discriminator config)
- 32,000 vocab size
- trained for 1,000,000 steps
- build with [lassl](https://github.com/lassl/lassl) framework
pretrain-data
┣ korean_corpus.txt ... |
SummerChiam/pond_image_classification_4 | 54a2e9d120f326f67f9a180b347a22fef5bbe980 | 2022-07-29T07:25:50.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | SummerChiam | null | SummerChiam/pond_image_classification_4 | 1 | null | transformers | 33,537 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: pond_image_classification_4
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9783163070678711
---
# pond_i... |
BramVanroy/bert-base-multilingual-cased-hebban-reviews5 | e05688eafadd08b0495dba2184f4643e39386563 | 2022-07-29T09:54:28.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"nl",
"dataset:BramVanroy/hebban-reviews",
"transformers",
"sentiment-analysis",
"dutch",
"text",
"license:mit",
"model-index"
] | text-classification | false | BramVanroy | null | BramVanroy/bert-base-multilingual-cased-hebban-reviews5 | 1 | null | transformers | 33,538 | ---
datasets:
- BramVanroy/hebban-reviews
language:
- nl
license: mit
metrics:
- accuracy
- f1
- precision
- qwk
- recall
model-index:
- name: bert-base-multilingual-cased-hebban-reviews5
results:
- dataset:
config: filtered_rating
name: BramVanroy/hebban-reviews - filtered_rating - 2.0.0
revision... |
SummerChiam/pond_image_classification_6 | 03d323b7d34822aa9ffa2a31aab365184a19fa76 | 2022-07-29T08:19:54.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | SummerChiam | null | SummerChiam/pond_image_classification_6 | 1 | null | transformers | 33,539 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: pond_image_classification_6
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9948979616165161
---
# pond_i... |
SummerChiam/pond_image_classification_7 | 5d523877316b46a9d595ff2f3d47cba8872d438d | 2022-07-29T08:32:46.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | SummerChiam | null | SummerChiam/pond_image_classification_7 | 1 | null | transformers | 33,540 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: pond_image_classification_7
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9936224222183228
---
# pond_i... |
RRajesh27/finetuning-sentiment-model-3000-samples | 268bfcdffd7631904c91d9857576c3266c45c70b | 2022-07-29T08:51:28.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | RRajesh27 | null | RRajesh27/finetuning-sentiment-model-3000-samples | 1 | null | transformers | 33,541 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
config: plain_text
... |
SummerChiam/pond_image_classification_9 | c560f05c7d11e898991f13ab999a6bc6d359e98b | 2022-07-29T09:13:48.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | SummerChiam | null | SummerChiam/pond_image_classification_9 | 1 | null | transformers | 33,542 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: pond_image_classification_9
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9974489808082581
---
# pond_i... |
olemeyer/zero_shot_issue_classification_bart-base-32-d | af05b44a414e00508fb2a29b30c72746370ed92a | 2022-07-29T23:46:30.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | olemeyer | null | olemeyer/zero_shot_issue_classification_bart-base-32-d | 1 | null | transformers | 33,543 | Entry not found |
raisin2402/marian-finetuned-kde4-en-to-fr | 7403053653cb381758c409ee4f72fb0db3bce1d0 | 2022-07-29T12:59:05.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"dataset:kde4",
"transformers",
"translation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | raisin2402 | null | raisin2402/marian-finetuned-kde4-en-to-fr | 1 | null | transformers | 33,544 | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: marian-finetuned-kde4-en-to-fr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4
type: kde4
config: ... |
Amine007/distilgpt2-finetuned-wikitext2 | 246e363e2f2ac29ec4096cc1ef3cefea1f180c47 | 2022-07-29T14:15:42.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | Amine007 | null | Amine007/distilgpt2-finetuned-wikitext2 | 1 | null | transformers | 33,545 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
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. -->
# dist... |
platzi/platzi-bert-base-mrpc-glue-omar-espejel | 2dbce0925c2328d5da873d4eb029af397e21a217 | 2022-07-29T13:50:27.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | platzi | null | platzi/platzi-bert-base-mrpc-glue-omar-espejel | 1 | null | transformers | 33,546 | ---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: platzi-bert-base-mrpc-glue-omar-espejel
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
co... |
sumba/covid-twitter-bert-v2-no_description-stance | 73aab0210a4b18392c29998c978afa54417bc73e | 2022-07-29T17:11:45.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | sumba | null | sumba/covid-twitter-bert-v2-no_description-stance | 1 | null | transformers | 33,547 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: covid-twitter-bert-v2-no_description-stance
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... |
ArthurZ/opt-350m-dummy-sc | d95ac8ae641f4f364688a6bda9754a5996e4f536 | 2022-07-29T15:53:54.000Z | [
"pytorch",
"opt",
"text-classification",
"transformers"
] | text-classification | false | ArthurZ | null | ArthurZ/opt-350m-dummy-sc | 1 | null | transformers | 33,548 | Entry not found |
natalierobbins/pos_test_model_1 | e3f3b1b2c4c9c1662193295137ce90f2445ab3f2 | 2022-07-29T19:21:52.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | natalierobbins | null | natalierobbins/pos_test_model_1 | 1 | null | transformers | 33,549 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: pos_test_model_1
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 ... |
schnell/bert-small-spm | 705a3ae6f0dacbae4f755568a066175dcf357969 | 2022-07-30T06:10:06.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | schnell | null | schnell/bert-small-spm | 1 | null | transformers | 33,550 | Entry not found |
ibm/re2g-reranker-nq | 40c10898c7f5af5efff0beebc5633739be68bcd1 | 2022-07-29T16:08:35.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | ibm | null | ibm/re2g-reranker-nq | 1 | null | transformers | 33,551 | ---
license: apache-2.0
---
|
eduagarcia/r_j_v2_checkpoint_36_48000 | 21d58740e46dbd3b9f730c9a61d990c76334828e | 2022-07-29T16:22:27.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | eduagarcia | null | eduagarcia/r_j_v2_checkpoint_36_48000 | 1 | null | transformers | 33,552 | Entry not found |
jungjongho/wav2vec2-large-xlsr-korean-demo-colab_epoch15 | d20ec977df62c0701ff0a3b4880f497cd8e562e5 | 2022-07-29T21:25:56.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | jungjongho | null | jungjongho/wav2vec2-large-xlsr-korean-demo-colab_epoch15 | 1 | null | transformers | 33,553 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xlsr-korean-demo-colab_epoch15
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 comme... |
sumba/covid-twitter-bert-v2-no_description-stance-processed | bf84c59292656e8af987bbe170fa867c087f81db | 2022-07-29T17:17:24.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | sumba | null | sumba/covid-twitter-bert-v2-no_description-stance-processed | 1 | null | transformers | 33,554 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: covid-twitter-bert-v2-no_description-stance-processed
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... |
Migga/ViT-BERT-Chess-V4 | e151dc069281e5bf471d1c46d1cddf28ce65b7b9 | 2022-07-30T04:26:03.000Z | [
"pytorch",
"vision-encoder-decoder",
"transformers",
"generated_from_trainer",
"model-index"
] | null | false | Migga | null | Migga/ViT-BERT-Chess-V4 | 1 | null | transformers | 33,555 | ---
tags:
- generated_from_trainer
model-index:
- name: ViT-BERT-Chess-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. -->
# ViT-BERT-Chess-V4
This model is a fi... |
clefourrier/graphnystromformer-large-cf-artificial-balanced-max500-105000-1 | 7c749b02b1537e6c3dfbdaab7c461a442bdb7bed | 2022-07-29T17:03:39.000Z | [
"pytorch",
"graph_nystromformer",
"text-classification",
"transformers"
] | text-classification | false | clefourrier | null | clefourrier/graphnystromformer-large-cf-artificial-balanced-max500-105000-1 | 1 | null | transformers | 33,556 | Entry not found |
Atharvgarg/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-extracted-sumy | 96004db5e98c827d9bd0c01226042c548a0b1d43 | 2022-07-29T17:50:17.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"summarisation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Atharvgarg | null | Atharvgarg/bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-extracted-sumy | 1 | null | transformers | 33,557 | ---
license: apache-2.0
tags:
- summarisation
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-extracted-sumy
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer ha... |
ibm/re2g-generation-trex | bf2ac30ac727cd02ad9a4acc12826753731daf45 | 2022-07-29T18:06:05.000Z | [
"pytorch",
"rag",
"transformers",
"license:apache-2.0"
] | null | false | ibm | null | ibm/re2g-generation-trex | 1 | null | transformers | 33,558 | ---
license: apache-2.0
---
|
ibm/re2g-reranker-trex | b8ccc5d5be594d9569fd0eb57ce3a4e2bfe6acd8 | 2022-07-29T18:10:28.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | ibm | null | ibm/re2g-reranker-trex | 1 | null | transformers | 33,559 | ---
license: apache-2.0
---
|
sumba/covid-twitter-bert-v2-with_description-stance | 57b5a319b733d0913f13bdaa83430110216b38e8 | 2022-07-29T18:50:26.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | sumba | null | sumba/covid-twitter-bert-v2-with_description-stance | 1 | null | transformers | 33,560 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: covid-twitter-bert-v2-with_description-stance
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remo... |
ibm/re2g-ctx-encoder-triviaqa | 52c28d387d659c8d4941a7676f289444e9cab225 | 2022-07-29T19:03:55.000Z | [
"pytorch",
"dpr",
"transformers",
"license:apache-2.0"
] | null | false | ibm | null | ibm/re2g-ctx-encoder-triviaqa | 1 | null | transformers | 33,561 | ---
license: apache-2.0
---
|
clefourrier/graphnystromformer-small-cf-artificial-unbalanced-nodes-468000-0 | e9b615ff564054f34bc4e1dcc2890f6cd61044f4 | 2022-07-29T19:48:22.000Z | [
"pytorch",
"graph_nystromformer",
"text-classification",
"transformers"
] | text-classification | false | clefourrier | null | clefourrier/graphnystromformer-small-cf-artificial-unbalanced-nodes-468000-0 | 1 | null | transformers | 33,562 | Entry not found |
clefourrier/nystromformer-large-cf-artificial-balanced-max500-105000-1 | 37d033841122df2de1b991df4513be9366818524 | 2022-07-29T21:13:05.000Z | [
"pytorch",
"graph_nystromformer",
"text-classification",
"transformers"
] | text-classification | false | clefourrier | null | clefourrier/nystromformer-large-cf-artificial-balanced-max500-105000-1 | 1 | null | transformers | 33,563 | Entry not found |
clefourrier/graphnystromformer-cf-artificial-balanced-max500-490000-1 | 09197236044430e871c3540a9a4efa3f0329fe87 | 2022-07-29T23:07:03.000Z | [
"pytorch",
"graph_nystromformer",
"text-classification",
"transformers"
] | text-classification | false | clefourrier | null | clefourrier/graphnystromformer-cf-artificial-balanced-max500-490000-1 | 1 | null | transformers | 33,564 | Entry not found |
muhtasham/tiny-bert-finetuned-ner-accelerate-gpu | 33ebd025a38d5440841ad0cce2f05b65184798d4 | 2022-07-30T00:51:09.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | muhtasham | null | muhtasham/tiny-bert-finetuned-ner-accelerate-gpu | 1 | null | transformers | 33,565 | Entry not found |
sophiestein/experiment-finetuned-ner | 7f97bca8f8e552967a728ffe20095c1cc32cbb2d | 2022-07-30T04:37:44.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | sophiestein | null | sophiestein/experiment-finetuned-ner | 1 | null | transformers | 33,566 | Entry not found |
fzwd6666/dummy-model | 8c358aa8597d6a6147efdd92ba8142ad2b954026 | 2022-07-30T00:52:28.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | fzwd6666 | null | fzwd6666/dummy-model | 1 | null | transformers | 33,567 | Entry not found |
eclat12450/fine-tuned-NSPKcBert-v4-10 | 67949b19faf98ea938c4c6b00c24ab92c3ecd633 | 2022-07-30T03:14:48.000Z | [
"pytorch",
"bert",
"next-sentence-prediction",
"transformers"
] | null | false | eclat12450 | null | eclat12450/fine-tuned-NSPKcBert-v4-10 | 1 | null | transformers | 33,568 | Entry not found |
clefourrier/nystromformer-small-cf-artificial-unbalanced-nodes-468000-0 | ef9331a2f17fe8a0e184f116ccc2af7282e2ac0b | 2022-07-30T03:33:44.000Z | [
"pytorch",
"graph_nystromformer",
"text-classification",
"transformers"
] | text-classification | false | clefourrier | null | clefourrier/nystromformer-small-cf-artificial-unbalanced-nodes-468000-0 | 1 | null | transformers | 33,569 | Entry not found |
CurtisBowser/DialoGPT-medium-sora-two | f0997b102f566d3e0cd66084092a3c6a3208994b | 2021-11-04T03:31:02.000Z | [
"pytorch",
"conversational"
] | conversational | false | CurtisBowser | null | CurtisBowser/DialoGPT-medium-sora-two | 0 | null | null | 33,570 | ---
tags:
- conversational
---
# Sora DialoGPT Model |
Darren/darren | a0a7f41ba55077fb255e60484e663f7e765f4464 | 2022-01-14T13:14:04.000Z | [
"pytorch"
] | null | false | Darren | null | Darren/darren | 0 | null | null | 33,571 | Entry not found |
JihyukKim/cbert-aleqd-s100-b36-g2-ib-hn | 96c749b1072f9089e440f7f0404d54fabfa2b438 | 2022-01-05T21:03:04.000Z | [
"pytorch"
] | null | false | JihyukKim | null | JihyukKim/cbert-aleqd-s100-b36-g2-ib-hn | 0 | null | null | 33,572 | Entry not found |
JihyukKim/cbert-b36-g2-ib-hn | 457718f963e08033eef4462d2be226ac6bb6839b | 2022-01-05T20:56:08.000Z | [
"pytorch"
] | null | false | JihyukKim | null | JihyukKim/cbert-b36-g2-ib-hn | 0 | null | null | 33,573 | Entry not found |
LysandreJik/metnet-test | 139cacb71093961d28fa81a53560aded435b92a4 | 2021-09-07T19:34:52.000Z | [
"pytorch"
] | null | false | LysandreJik | null | LysandreJik/metnet-test | 0 | null | null | 33,574 | Entry not found |
NovelAI/genji-python-6B-split | 890390be84051bcdb60036e0af158a47dad96f8a | 2021-08-06T18:57:56.000Z | [
"en",
"dataset:the Pile",
"arxiv:2104.09864",
"pytorch",
"causal-lm",
"license:apache-2.0"
] | null | false | NovelAI | null | NovelAI/genji-python-6B-split | 0 | null | null | 33,575 | ---
language:
- en
tags:
- pytorch
- causal-lm
license: apache-2.0
datasets:
- the Pile
---
# Genji-python 6B
For example usage or to easily use the model you can check our colab notebook:
[Notebook](https://colab.research.google.com/drive/1PnWpx02IEUkY8jhLKd_NewUGEXahAska?usp=sharing)
## Model Description
Genji is... |
SauravMaheshkar/rembert-maxseq-384-docstride-128-chaii | dc33fcdc3beef40c79454e675303451a8af49572 | 2021-10-23T04:03:28.000Z | [
"multilingual",
"dataset:Commonlit-Readibility",
"kaggle",
"rembert",
"pytorch",
"question-answering",
"license:cc0-1.0"
] | question-answering | false | SauravMaheshkar | null | SauravMaheshkar/rembert-maxseq-384-docstride-128-chaii | 0 | null | null | 33,576 | ---
thumbnail: https://github.com/SauravMaheshkar/chaii-Hindi-Tamil-QA/blob/main/assets/Coffee%20Banner.png?raw=true
tags:
- kaggle
- rembert
- pytorch
- question-answering
language: multilingual
license: cc0-1.0
inference: false
datasets:
- Commonlit-Readibility
---
<div align = "center">
<img src = "https://github... |
SauravMaheshkar/rembert-maxseq-384-docstride-135-chaii | 347358604cb5ffe24adc7fb1cebaa6ad865b57aa | 2021-10-23T04:03:12.000Z | [
"multilingual",
"dataset:Commonlit-Readibility",
"kaggle",
"rembert",
"pytorch",
"question-answering",
"license:cc0-1.0"
] | question-answering | false | SauravMaheshkar | null | SauravMaheshkar/rembert-maxseq-384-docstride-135-chaii | 0 | null | null | 33,577 | ---
thumbnail: https://github.com/SauravMaheshkar/chaii-Hindi-Tamil-QA/blob/main/assets/Coffee%20Banner.png?raw=true
tags:
- kaggle
- rembert
- pytorch
- question-answering
language: multilingual
license: cc0-1.0
inference: false
datasets:
- Commonlit-Readibility
---
<div align = "center">
<img src = "https://github... |
SauravMaheshkar/rembert-maxseq-400-docstride-128-chaii | e9355ecff169434b7072299a28e86f80ed868a00 | 2021-10-23T04:03:04.000Z | [
"multilingual",
"dataset:Commonlit-Readibility",
"kaggle",
"rembert",
"pytorch",
"question-answering",
"license:cc0-1.0"
] | question-answering | false | SauravMaheshkar | null | SauravMaheshkar/rembert-maxseq-400-docstride-128-chaii | 0 | null | null | 33,578 | ---
thumbnail: https://github.com/SauravMaheshkar/chaii-Hindi-Tamil-QA/blob/main/assets/Coffee%20Banner.png?raw=true
tags:
- kaggle
- rembert
- pytorch
- question-answering
language: multilingual
license: cc0-1.0
inference: false
datasets:
- Commonlit-Readibility
---
<div align = "center">
<img src = "https://github... |
SauravMaheshkar/rembert-maxseq-400-docstride-135-chaii | 7f7402b700b965285ba86d4b5f3d72bfaf3600a0 | 2021-10-23T04:02:43.000Z | [
"multilingual",
"dataset:Commonlit-Readibility",
"kaggle",
"rembert",
"pytorch",
"question-answering",
"license:cc0-1.0"
] | question-answering | false | SauravMaheshkar | null | SauravMaheshkar/rembert-maxseq-400-docstride-135-chaii | 0 | null | null | 33,579 | ---
thumbnail: https://github.com/SauravMaheshkar/chaii-Hindi-Tamil-QA/blob/main/assets/Coffee%20Banner.png?raw=true
tags:
- kaggle
- rembert
- pytorch
- question-answering
language: multilingual
license: cc0-1.0
inference: false
datasets:
- Commonlit-Readibility
---
<div align = "center">
<img src = "https://github... |
Souvikcmsa/LogFiBER | 90932316952537cc4357a45de92e0a0c0416b3cc | 2021-12-17T10:05:05.000Z | [
"pytorch"
] | null | false | Souvikcmsa | null | Souvikcmsa/LogFiBER | 0 | null | null | 33,580 | Log FiBER
This model is able to sentence embedding. |
TaahaKazi/joke-generator | 781fa53d7ebe5456fe442f95a9f7edc8c010dd41 | 2021-04-12T09:19:07.000Z | [
"pytorch"
] | null | false | TaahaKazi | null | TaahaKazi/joke-generator | 0 | null | null | 33,581 | Entry not found |
alanakbik/test-serialization | 6f8587f7475d01683dd0fd03d386916c3b3e99b1 | 2021-03-15T21:26:58.000Z | [
"pytorch"
] | null | false | alanakbik | null | alanakbik/test-serialization | 0 | null | null | 33,582 | Entry not found |
lmqg/bart-base-squad-default | 1cc9ce592c2b82e6cda3c17235e54d0bfef8a7af | 2022-05-31T23:55:18.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:squad",
"transformers",
"question generation",
"question answer generation",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/bart-base-squad-default | 0 | null | transformers | 33,583 | ---
language:
- en
tags:
- question generation
- question answer generation
license: mit
datasets:
- squad
metrics:
- bleu
- meteor
- rouge
widget:
- text: "<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
example_title: "Examp... |
lmqg/bart-base-squad-no-answer | f3a496de87e1cb94d6f79c61bfafb49d8e6f5b9b | 2022-06-01T00:17:53.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/bart-base-squad-no-answer | 0 | null | transformers | 33,584 | Entry not found |
lmqg/bart-base-squad-no-paragraph | dca517dc5d6a9a2ba8fd127a9fe0546f2d0a29a9 | 2022-06-01T00:21:02.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/bart-base-squad-no-paragraph | 0 | null | transformers | 33,585 | Entry not found |
lmqg/bart-large-squad-no-answer | 45c9b1577c1d1dfd1f039be78759591d1d55e947 | 2022-06-01T00:21:20.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/bart-large-squad-no-answer | 0 | null | transformers | 33,586 | Entry not found |
lmqg/bart-large-squad-no-paragraph | 6fa3379f620c683fde6cfd0f28a40e06754e75cb | 2022-06-01T00:21:29.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/bart-large-squad-no-paragraph | 0 | null | transformers | 33,587 | Entry not found |
lmqg/t5-base-squad-no-paragraph | e0152584479af5a3def2f999346b3af0786ddcf7 | 2022-06-01T00:24:27.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/t5-base-squad-no-paragraph | 0 | null | transformers | 33,588 | Entry not found |
lmqg/t5-large-squad-no-answer | 83ef7f8a79aaf1d2f81012c770ac7fc27a8a648b | 2022-06-01T00:24:45.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/t5-large-squad-no-answer | 0 | null | transformers | 33,589 | Entry not found |
lmqg/t5-large-squad-no-paragraph | 23ee7d53d11ff76d0bf11f58e877e76ccf03de49 | 2022-06-01T00:24:55.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/t5-large-squad-no-paragraph | 0 | null | transformers | 33,590 | Entry not found |
lmqg/t5-small-squad-default | dab42386cb12bff432443607187f9fc90627d6cd | 2022-06-01T00:25:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:squad",
"transformers",
"question generation",
"question answer generation",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/t5-small-squad-default | 0 | null | transformers | 33,591 | ---
language:
- en
tags:
- question generation
- question answer generation
license: mit
datasets:
- squad
metrics:
- bleu
- meteor
- rouge
widget:
- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
ex... |
lmqg/t5-small-squad-no-answer | 9187781b7d5510fab0c752ad0b86dd66a2ef8c7c | 2022-06-01T00:25:20.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | lmqg | null | lmqg/t5-small-squad-no-answer | 0 | null | transformers | 33,592 | Entry not found |
tner/xlm-roberta-base-bc5cdr | 6933d1e8269bf51d988d0ec39060b639648390fa | 2021-02-13T00:06:56.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-bc5cdr | 0 | null | transformers | 33,593 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-bc5cdr")
model = AutoM... |
tner/xlm-roberta-base-fin | d7d10d01cbda0f67b200ff41d5d1b0efd6ffe8c3 | 2021-02-12T23:33:59.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-fin | 0 | null | transformers | 33,594 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-fin")
model = AutoMode... |
tner/xlm-roberta-base-panx-dataset-ar | bf61279d9ffb72fdb1a0cc2b0ab555a38abef46f | 2021-02-12T23:34:15.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-panx-dataset-ar | 0 | null | transformers | 33,595 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-panx-dataset-ar")
mode... |
tner/xlm-roberta-base-panx-dataset-en | 21a5c5b2488171f063dd565b3d38ddd1cb1433f7 | 2021-02-13T00:07:38.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-panx-dataset-en | 0 | null | transformers | 33,596 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-panx-dataset-en")
mode... |
tner/xlm-roberta-base-panx-dataset-es | 89b2ab786debdc0bbfa03cd82802524de413bed5 | 2021-02-12T23:34:35.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-panx-dataset-es | 0 | null | transformers | 33,597 |
# XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-panx-dataset-es")
mod... |
tner/xlm-roberta-base-panx-dataset-ja | 928240f47cd7269a928ccdb6c349225984fd6e68 | 2021-02-13T00:08:40.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-panx-dataset-ja | 0 | null | transformers | 33,598 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-panx-dataset-ja")
mode... |
tner/xlm-roberta-base-panx-dataset-ko | e5be8a06aa3e1f5503abff7217b4648a23b2e4da | 2021-02-12T23:34:47.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-panx-dataset-ko | 0 | null | transformers | 33,599 |
# XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-panx-dataset-ko")
mod... |
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