modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
values | private bool 1
class | author stringlengths 2 38 ⌀ | config null | id stringlengths 4 112 | downloads float64 0 36.8M ⌀ | likes float64 0 712 ⌀ | library_name stringclasses 17
values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
uclanlp/plbart-multi_task-static | bb0218751170a541477bc83531916a8be2db651b | 2022-03-02T07:40:03.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-multi_task-static | 0 | null | transformers | 36,200 | Entry not found |
uclanlp/plbart-refine-java-small | 3806d817c9b07550770b91b260ced92979b8313d | 2021-11-09T17:09:52.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-refine-java-small | 0 | null | transformers | 36,201 | Entry not found |
uclanlp/plbart-single_task-en_java | fc01f16a888897fed6d7d82f670133d60c62f9b7 | 2022-03-02T07:05:00.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-en_java | 0 | null | transformers | 36,202 | Entry not found |
uclanlp/plbart-single_task-en_ruby | 8907b197998a22b4b07f0edd1eb094baba140fa6 | 2022-03-02T07:06:19.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-en_ruby | 0 | null | transformers | 36,203 | Entry not found |
uclanlp/plbart-single_task-interpreted-generation | 286e091ef6f6873e510b57d95bd2399dc81c26be | 2022-03-02T07:19:36.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-interpreted-generation | 0 | null | transformers | 36,204 | Entry not found |
uclanlp/plbart-single_task-js_en | e756d919dff5bb87746bf2078f69b107a3cda9fd | 2022-03-02T07:02:26.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-js_en | 0 | null | transformers | 36,205 | Entry not found |
uclanlp/visualbert-nlvr2-pre | 09a7ebd71066465e9d909de1e1c6c0aecdbf7645 | 2021-05-31T11:12:02.000Z | [
"pytorch",
"visual_bert",
"pretraining",
"transformers"
] | null | false | uclanlp | null | uclanlp/visualbert-nlvr2-pre | 0 | null | transformers | 36,206 | Entry not found |
uclanlp/visualbert-vcr-coco-pre | d83463c00c8ae5d7b1b4c8ffdccf1698172f1390 | 2021-05-31T11:27:41.000Z | [
"pytorch",
"visual_bert",
"pretraining",
"transformers"
] | null | false | uclanlp | null | uclanlp/visualbert-vcr-coco-pre | 0 | null | transformers | 36,207 | Entry not found |
ueb1/IceBERT-finetuned-ner | 23ec9afdcab6a37b42b0e1a0b1b315a321b7eac3 | 2021-10-05T21:28:47.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:gpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ueb1 | null | ueb1/IceBERT-finetuned-ner | 0 | null | transformers | 36,208 | ---
license: gpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: IceBERT-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: mim_gold_ner
type: mim_gold_ner
... |
ueb1/XLMR-ENIS-finetuned-ner | 266212dd5b06e3cbb0da4da23898632db2fff7a5 | 2021-10-05T23:19:15.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:agpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ueb1 | null | ueb1/XLMR-ENIS-finetuned-ner | 0 | null | transformers | 36,209 | ---
license: agpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: XLMR-ENIS-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: mim_gold_ner
type: mim_gold_ner
... |
ufal/byt5-small-multilexnorm2021-da | 84554f95d050988a09516c0aaf76e50d85ca7d32 | 2021-10-15T20:41:10.000Z | [
"pytorch",
"t5",
"text2text-generation",
"da",
"dataset:mc4",
"dataset:wikipedia",
"dataset:multilexnorm",
"arxiv:2105.13626",
"arxiv:1907.06292",
"transformers",
"lexical normalization",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | ufal | null | ufal/byt5-small-multilexnorm2021-da | 0 | 1 | transformers | 36,210 | ---
language: da
datasets:
- mc4
- wikipedia
- multilexnorm
tags:
- lexical normalization
license: apache-2.0
---
# Fine-tuned ByT5-small for MultiLexNorm (Danish version)
This is the official release of the fine-tuned models for **... |
ufal/byt5-small-multilexnorm2021-iden | bba2b1a6439cd3fbfd85a581100685500012d5f4 | 2021-10-20T12:31:18.000Z | [
"pytorch",
"t5",
"text2text-generation",
"id",
"en",
"dataset:mc4",
"dataset:wikipedia",
"dataset:multilexnorm",
"arxiv:2105.13626",
"arxiv:1907.06292",
"transformers",
"lexical normalization",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | ufal | null | ufal/byt5-small-multilexnorm2021-iden | 0 | null | transformers | 36,211 | ---
language:
- id
- en
datasets:
- mc4
- wikipedia
- multilexnorm
tags:
- lexical normalization
license: apache-2.0
---
# Fine-tuned ByT5-small for MultiLexNorm (Indonesian-English version)
This is the official release of the fine-... |
ufal/byt5-small-multilexnorm2021-it | 0383500e1e59ce6cea155d59de8225228cbc6ef6 | 2021-10-20T12:38:22.000Z | [
"pytorch",
"t5",
"text2text-generation",
"it",
"dataset:mc4",
"dataset:wikipedia",
"dataset:multilexnorm",
"arxiv:2105.13626",
"arxiv:1907.06292",
"transformers",
"lexical normalization",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | ufal | null | ufal/byt5-small-multilexnorm2021-it | 0 | null | transformers | 36,212 | ---
language: it
datasets:
- mc4
- wikipedia
- multilexnorm
tags:
- lexical normalization
license: apache-2.0
---
# Fine-tuned ByT5-small for MultiLexNorm (Italian version)
This is the official release of the fine-tuned models for *... |
ufal/byt5-small-multilexnorm2021-nl | 8dbe3a718cad034e3463c8cdee483ab88382aa9f | 2021-10-20T12:42:44.000Z | [
"pytorch",
"t5",
"text2text-generation",
"nl",
"dataset:mc4",
"dataset:wikipedia",
"dataset:multilexnorm",
"arxiv:2105.13626",
"arxiv:1907.06292",
"transformers",
"lexical normalization",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | ufal | null | ufal/byt5-small-multilexnorm2021-nl | 0 | null | transformers | 36,213 | ---
language: nl
datasets:
- mc4
- wikipedia
- multilexnorm
tags:
- lexical normalization
license: apache-2.0
---
# Fine-tuned ByT5-small for MultiLexNorm (Dutch version)
This is the official release of the fine-tuned models for **t... |
ufal/byt5-small-multilexnorm2021-tr | 0ff1dc175218b32053eb226923126779415229a9 | 2021-10-20T12:56:48.000Z | [
"pytorch",
"t5",
"text2text-generation",
"tr",
"dataset:mc4",
"dataset:wikipedia",
"dataset:multilexnorm",
"arxiv:2105.13626",
"arxiv:1907.06292",
"transformers",
"lexical normalization",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | ufal | null | ufal/byt5-small-multilexnorm2021-tr | 0 | null | transformers | 36,214 | ---
language: tr
datasets:
- mc4
- wikipedia
- multilexnorm
tags:
- lexical normalization
license: apache-2.0
---
# Fine-tuned ByT5-small for MultiLexNorm (Turkish version)
This is the official release of the fine-tuned models for *... |
unicamp-dl/mt5-base-mmarco-v1 | 0dc8b8dd0eb9e3fa45389a6dc34c872b07292654 | 2022-01-05T21:30:24.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"pt",
"dataset:msmarco",
"arxiv:2108.13897",
"transformers",
"msmarco",
"t5",
"tensorflow",
"pt-br",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | unicamp-dl | null | unicamp-dl/mt5-base-mmarco-v1 | 0 | null | transformers | 36,215 | ---
language: pt
license: mit
tags:
- msmarco
- t5
- pytorch
- tensorflow
- pt
- pt-br
datasets:
- msmarco
widget:
- text: "Texto de exemplo em português"
inference: false
---
# mt5-base Reranker finetuned on mMARCO
## Introduction
mt5-base-mmarco-v1 is a mT5-based model fine-tuned on a multilingual translated version... |
unknownTransformer/wav2vec2-large-xlsr-german | 937e7487d86c7fc963d05fbe42efd0e31e23ae47 | 2021-05-11T08:43:09.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | unknownTransformer | null | unknownTransformer/wav2vec2-large-xlsr-german | 0 | null | transformers | 36,216 | Bad Modell for Research Purposes! |
upskyy/kobart-summarization-v2 | 79ff33e1a4d8c5bc35684f8ff031194fb68eee82 | 2021-10-03T14:46:43.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | upskyy | null | upskyy/kobart-summarization-v2 | 0 | 1 | transformers | 36,217 | Entry not found |
usami/t5-small-finetuned-xsum | d94209374b8c500723fdf48da5a67b43729af779 | 2022-01-31T11:28:06.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | usami | null | usami/t5-small-finetuned-xsum | 0 | null | transformers | 36,218 | Entry not found |
uva-irlab/quretec | 1ea91bdff782f22e94439d736677d44f3d8153ff | 2021-08-26T14:06:47.000Z | [
"pytorch",
"bert",
"en",
"dataset:uva-irlab/canard_quretec",
"arxiv:2005.11723",
"transformers",
"conversational-search",
"model-index"
] | null | false | uva-irlab | null | uva-irlab/quretec | 0 | null | transformers | 36,219 | ---
language:
- en
tags:
- conversational-search # Example: audio
metrics:
- f1
datasets:
- uva-irlab/canard_quretec
model-index:
- name: QuReTec
results:
- task:
name: Conversational search # Example: Speech Recognition
type: conversational # Example: automatic-speech-recognition
dataset:
... |
uyeongjae/distilgpt2-finetuned-wikitext2 | 88f0ba1a40ec5f90080628b22d249b3c0348351f | 2021-09-17T05:34:07.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | uyeongjae | null | uyeongjae/distilgpt2-finetuned-wikitext2 | 0 | null | transformers | 36,220 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: distilgpt2-finetuned-wikitext2
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access... |
vachevkd/qna-t5sm-squad-v01 | 9e10cfa8524fb1a811b16059f70e208eacd1119a | 2021-12-19T15:56:04.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | vachevkd | null | vachevkd/qna-t5sm-squad-v01 | 0 | null | transformers | 36,221 | Entry not found |
vachonni/wav2vec2-large-xls-r-300m-da-colab | 72000fcd3dd1135626794fb8393b1df6b8ce3181 | 2022-01-14T12:14:53.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | vachonni | null | vachonni/wav2vec2-large-xls-r-300m-da-colab | 0 | null | transformers | 36,222 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xls-r-300m-da-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... |
valarikv/DialoGPT-small-bateman | b63220afe67ac1d60122612fa7fd0a3c14a4c23c | 2022-01-02T17:39:58.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | valarikv | null | valarikv/DialoGPT-small-bateman | 0 | null | transformers | 36,223 | ---
tags:
- conversational
---
# Patrick Bateman DialoGPT Model
|
valurank/paraphrase-mpnet-base-v2-offensive | bf4e92804d69c64d880b1341616ceac053100185 | 2022-06-08T20:33:14.000Z | [
"pytorch",
"mpnet",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:other"
] | sentence-similarity | false | valurank | null | valurank/paraphrase-mpnet-base-v2-offensive | 0 | null | sentence-transformers | 36,224 | ---
pipeline_tag: sentence-similarity
license: other
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# valurank/paraphrase-mpnet-base-v2-offensive
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vecto... |
vanadhi/bert-base-uncased-fiqa-flm-sq-flit | 4198977ffd736e54399f7e331c7560b0a8c02333 | 2021-12-25T18:44:16.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | vanadhi | null | vanadhi/bert-base-uncased-fiqa-flm-sq-flit | 0 | null | transformers | 36,225 | ---
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-fiqa-flm-sq-flit
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. -->
# bert-base-uncased-fi... |
vanessahahn/bert-fr-de-en-ar-twitter | d69b1c2b7ab774664dc454acf8a8a92eaa521e3c | 2021-06-08T19:17:23.000Z | [
"pytorch"
] | null | false | vanessahahn | null | vanessahahn/bert-fr-de-en-ar-twitter | 0 | null | null | 36,226 | Entry not found |
vasilis/wav2vec2-large-xlsr-53-estonian | 6009cf85eefc3b2d44cff706b15542f481c3d10a | 2021-04-15T09:21:31.000Z | [
"pytorch",
"wav2vec2",
"et",
"dataset:common_voice",
"dataset:NST Estonian ASR Database",
"transformers",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | vasilis | null | vasilis/wav2vec2-large-xlsr-53-estonian | 0 | null | transformers | 36,227 | ---
language: et
datasets:
- common_voice
- NST Estonian ASR Database
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53 - Estonian by Vasilis
results:
- task:
name: Speech Recognition
type: ... |
vasilis/wav2vec2-large-xlsr-53-swedish | d73c028f85b72430cb191016b519af9fa3a7f8ca | 2021-04-09T12:23:23.000Z | [
"pytorch",
"wav2vec2",
"sv-SE",
"dataset:common_voice",
"dataset:NST Swedish ASR Database",
"transformers",
"audio",
"automatic-speech-recognition",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | vasilis | null | vasilis/wav2vec2-large-xlsr-53-swedish | 0 | 1 | transformers | 36,228 | ---
language: sv-SE
datasets:
- common_voice
- NST Swedish ASR Database
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: V XLSR Wav2Vec2 Large 53 - Swedish
results:
- task:
name: Speech Recognition
type: automati... |
vasilis/xls-r-et-V-3 | c9ef0cfd07761dd95511799fbd88916d4689ae97 | 2022-03-24T11:54:23.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"et",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"generated_from_trainer",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | vasilis | null | vasilis/xls-r-et-V-3 | 0 | null | transformers | 36,229 | ---
language:
- et
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- et
- robust-speech-event
- generated_from_trainer
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-1B - Estonian
results:
- task:
name: Automatic S... |
vasudevgupta/abnet-iwslt14-de-en | 1e179e7b78c093e9df7fdedc2cc5185d8be2495b | 2021-02-03T07:18:19.000Z | [
"pytorch",
"transformers"
] | null | false | vasudevgupta | null | vasudevgupta/abnet-iwslt14-de-en | 0 | null | transformers | 36,230 | Entry not found |
verissimomanoel/RobertaTwitterBR | acd7f90b385f70226df04e13ff12eb8838cd9316 | 2021-05-20T22:53:32.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | verissimomanoel | null | verissimomanoel/RobertaTwitterBR | 0 | null | transformers | 36,231 | ### Twitter RoBERTa BR
This is a RoBERTa Twitter in Portuguese model trained on ~7M tweets.
The results will be posted in the future.
### Example of using
```
tokenizer = AutoTokenizer.from_pretrained("verissimomanoel/RobertaTwitterBR")
model = AutoModel.from_pretrained("verissimomanoel/RobertaTwitterBR")
```
|
vesteinn/IceBERT-finetuned-ner | 2ce6b46533b4fc7b526ea1bf5220ef08a714a502 | 2021-09-29T16:17:30.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:gpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | vesteinn | null | vesteinn/IceBERT-finetuned-ner | 0 | null | transformers | 36,232 | ---
license: gpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: IceBERT-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: mim_gold_ner
type: mim_gold_ner
... |
vesteinn/IceBERT-ner | 2e2adcc9c0ce8a16ad2a675206962396140fdda2 | 2021-09-29T09:35:31.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:gpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | vesteinn | null | vesteinn/IceBERT-ner | 0 | null | transformers | 36,233 | ---
license: gpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
widget:
- text: Systurnar Guðrún og Monique átu einar á McDonalds og horfðu á Stöð 2, þar glitti í Bruce Willis leika í Die Hard 2.
model-index:
- name: IceBERT-finetuned-ner
results:
- task:
... |
victen/xlm-roberta-base-finetuned-panx-de | e648ee12e05661e9a38a8886504d3758d9f3e7a5 | 2022-02-09T10:49:12.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | victen | null | victen/xlm-roberta-base-finetuned-panx-de | 0 | null | transformers | 36,234 | ---
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:... |
vijote/DialoGPT-small-Morty | 368986d7b4fcedfa61349367c4d0bd68985ae3e5 | 2022-01-09T15:09:05.000Z | [
"pytorch",
"conversational"
] | conversational | false | vijote | null | vijote/DialoGPT-small-Morty | 0 | null | null | 36,235 | ---
tags:
- conversational
---
# Morty DialoGPT Model test |
vincentlu073/legal-zh-multi-span-bio | 9fd22d974cf7f68e2d89b013102cea28ae8658a1 | 2021-05-20T09:00:04.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | vincentlu073 | null | vincentlu073/legal-zh-multi-span-bio | 0 | null | transformers | 36,236 | Entry not found |
visualjoyce/transformers4vl-vilbert-mt | abbc7f5c86c7f54be82af98af7a1eb178b568b0e | 2021-06-22T13:08:27.000Z | [
"pytorch",
"vilbert",
"transformers"
] | null | false | visualjoyce | null | visualjoyce/transformers4vl-vilbert-mt | 0 | 2 | transformers | 36,237 | Entry not found |
visualjoyce/transformers4vl-vilbert | 8be5d1a7bfed1c31736ca767c5acda9b53979c25 | 2021-06-22T12:56:49.000Z | [
"pytorch",
"vilbert",
"transformers"
] | null | false | visualjoyce | null | visualjoyce/transformers4vl-vilbert | 0 | 1 | transformers | 36,238 | Entry not found |
vitusya/distilbert-base-uncased-finetuned-squad | 4853079eae9296e857898071ce98d077f1cdb7b9 | 2021-11-23T21:15:03.000Z | [
"pytorch",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | vitusya | null | vitusya/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 36,239 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... |
vivek-g-2009/DialoGPT-medium-harrypotter | bea55e2fd901385b1bb7794767e593ca924e2981 | 2021-08-27T08:16:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | vivek-g-2009 | null | vivek-g-2009/DialoGPT-medium-harrypotter | 0 | null | transformers | 36,240 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
vkorennoy/gpt2_first | 62dcd17adf4b96129fa85cdd57383ee0bc699cda | 2021-11-21T20:38:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | vkorennoy | null | vkorennoy/gpt2_first | 0 | null | transformers | 36,241 | Entry not found |
vkrishnamoorthy/distilbert-base-uncased-finetuned-squad | 9ce50e66c3a3ed067e99de500fbde2e76b6a6449 | 2022-02-28T19:27:07.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | vkrishnamoorthy | null | vkrishnamoorthy/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 36,242 | Entry not found |
vlco-o/NLboto_o-aki-dialogpt | a72a8d1dc8abf973c6720a9b0aa54a26254dfdf7 | 2021-12-14T17:08:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | vlco-o | null | vlco-o/NLboto_o-aki-dialogpt | 0 | null | transformers | 36,243 | ---
tags:
- conversational
---
# NLboto_o aki |
vlco-o/NLboto_o-small-dialogpt | 6f28022ec0f456334edf06cd17d824685e9bfd89 | 2021-12-10T23:29:23.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | vlco-o | null | vlco-o/NLboto_o-small-dialogpt | 0 | null | transformers | 36,244 | ---
tags:
- conversational
---
# NLboto_o model |
vneralla/xlrs-53-finnish | cdac12fbcbee86ac8a447793db62db9016818e53 | 2022-03-08T08:59:34.000Z | [
"pytorch",
"jax",
"wav2vec2",
"pretraining",
"multilingual",
"dataset:common_voice",
"arxiv:2006.13979",
"transformers",
"speech",
"automatic-speech-recognition",
"license:apache-2.0"
] | automatic-speech-recognition | false | vneralla | null | vneralla/xlrs-53-finnish | 0 | null | transformers | 36,245 | ---
language: multilingual
datasets:
- common_voice
tags:
- speech
- automatic-speech-recognition
license: apache-2.0
---
# Wav2Vec2-XLSR-53
[Facebook's XLSR-Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The base model pretrained on 16kHz sampled speech audio. W... |
vocab-transformers/dense_encoder-msmarco-bert-base-word2vec256k_emb_updated | 1474220b3b21ae781efeb3398e74455eb4409446 | 2022-02-21T20:13:25.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | vocab-transformers | null | vocab-transformers/dense_encoder-msmarco-bert-base-word2vec256k_emb_updated | 0 | null | sentence-transformers | 36,246 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# dense_encoder-msmarco-bert-base-word2vec256k
**Note: Token embeddings where updated!**
This model is based on [msmarco-word2vec256000-bert-base-uncased](https://huggingface.co/nicolade... |
vocab-transformers/msmarco-distilbert-word2vec256k-MLM_230k | 77b49f5e2fd91fdd9f4e849a8823260dcda4c9fc | 2022-02-22T08:25:00.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | vocab-transformers | null | vocab-transformers/msmarco-distilbert-word2vec256k-MLM_230k | 0 | null | transformers | 36,247 | # Model
This model is based on [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://huggingface.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) with a 256k sized vocabulary initialized with word2vec.
This model has been trained with MLM on the MS MARCO corpus collection for 230k steps... |
vocab-transformers/msmarco-distilbert-word2vec256k-MLM_785k_emb_updated | 9b4adde48c4980358bd462ffc7e51597b5c7095f | 2022-02-21T20:12:43.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | vocab-transformers | null | vocab-transformers/msmarco-distilbert-word2vec256k-MLM_785k_emb_updated | 0 | null | transformers | 36,248 | # Model
This model is based on [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://huggingface.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) with a 256k sized vocabulary initialized with word2vec.
This model has been trained with MLM on the MS MARCO corpus collection for 785k steps... |
voidful/part-10000 | 3ff430ce7244991b0ab9696273d9efe5caa68a0d | 2022-01-22T16:59:54.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | voidful | null | voidful/part-10000 | 0 | null | transformers | 36,249 | Entry not found |
voidful/part-1100000 | 0019b95784fc1d048db441b1d3d5982336cd91f3 | 2022-03-04T15:59:29.000Z | [
"pytorch",
"bart",
"feature-extraction",
"transformers",
"license:afl-3.0"
] | feature-extraction | false | voidful | null | voidful/part-1100000 | 0 | null | transformers | 36,250 | ---
license: afl-3.0
---
|
vppvgit/Finetuned | 39be53d68647763f27403bada83e9443f8553350 | 2021-11-18T15:17:35.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | vppvgit | null | vppvgit/Finetuned | 0 | null | transformers | 36,251 | ---
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: BibliBERT
results:
- task:
name: Masked Language Modeling
type: fill-mask
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... |
vr25/fin_RoBERTa-v1 | 4218aaa689c120e8f20bfaaa0f818d84f4e3a751 | 2021-05-20T23:06:21.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | vr25 | null | vr25/fin_RoBERTa-v1 | 0 | null | transformers | 36,252 | Entry not found |
vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-lt | 41d4286f142fef9dc5d5ffad1711ea963e22b525 | 2022-01-18T17:45:15.000Z | [
"pytorch",
"onnx",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-57.92sparse-lt | 0 | null | transformers | 36,253 | This model is a downstream optimization of [```vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt```](https://huggingface.co/vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt) using [OpenVINO/NNCF](https://github.com/openvinotoolkit/nncf). Applied optimization includes:
1. magnitude sparsification at 57.... |
vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt-qat-lt | c29e0005529372bdd374205eeff551dbf01956c9 | 2022-02-08T22:58:30.000Z | [
"pytorch",
"onnx",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt-qat-lt | 0 | null | transformers | 36,254 | This model is a downstream optimization of [```vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt```](https://huggingface.co/vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt) using [OpenVINO/NNCF](https://github.com/openvinotoolkit/nncf). Applied optimization includes:
1. NNCF Quantize-Aware Training -... |
vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt | 37ca5f0ad8a7c8000512aa5e7e3776b68803debd | 2022-01-09T03:11:21.000Z | [
"pytorch",
"bert",
"question-answering",
"arxiv:2109.04838",
"transformers",
"autotrain_compatible"
] | question-answering | false | vuiseng9 | null | vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt | 0 | null | transformers | 36,255 | This model is a downstream fine-tuning of [```vuiseng9/bert-base-squadv1-block-pruning-hybrid```](https://huggingface.co/vuiseng9/bert-base-squadv1-block-pruning-hybrid). "filled" means unstructured fine-grained sparsified parameters are allowed to learn during fine-tuning. "lt" means distillation of larger model as te... |
vuiseng9/bert-base-squadv1-block-pruning-hybrid | 346f622a12af43f4b8ad86a56ef209fc9e4788c4 | 2022-01-09T03:12:11.000Z | [
"pytorch",
"bert",
"question-answering",
"arxiv:2109.04838",
"transformers",
"autotrain_compatible"
] | question-answering | false | vuiseng9 | null | vuiseng9/bert-base-squadv1-block-pruning-hybrid | 0 | null | transformers | 36,256 | BERT-base tuned for Squadv1.1 is pruned with movement pruning algorithm in hybrid fashion, i.e. 32x32 block for self-attention layers, per-dimension grain size for ffn layers.
```
eval_exact_match = 78.5241
eval_f1 = 86.4138
eval_samples = 10784
```
This model is a replication of [block pruning pa... |
vuiseng9/bert-base-uncased-squadv1-85.4-sparse | 6b75846ad406107255044e5b4ed78290d215c506 | 2021-11-11T18:13:01.000Z | [
"pytorch",
"tf",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-uncased-squadv1-85.4-sparse | 0 | null | transformers | 36,257 | * A set of unstructured sparse bert-base-uncased models fine-tuned for SQuADv1.
* Tensorflow models are created using ```TFAutoModelForQuestionAnswering.from_pretrained(..., from_pt=True)``` and ```model.save_pretrained(tf_pth)```.
* Observed issue - loss in model translation, discrepancy observed in evaluation between... |
vvn/en-to-it-marianmt | 7eca316f445ea1fd14ab7a5bdc05c20b97a6a68c | 2021-07-27T16:50:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | vvn | null | vvn/en-to-it-marianmt | 0 | null | transformers | 36,258 | Fine-Tuned MarianMT translation model for translating text from English to Italian.
Checkpoint of pre-trained model = Helsinki-NLP/opus-mt-en-it.
Trained using custom training loop with PyTorch on Colab for 2 epochs.
Link to the GitHub repo containing Google Colab notebook: https://github.com/vanadnarayane26/Maverick... |
w11wo/lao-roberta-base-pos-tagger | 65f510328cf3faf09034dc417ad5257492ba03c4 | 2021-12-07T05:14:57.000Z | [
"pytorch",
"roberta",
"token-classification",
"lo",
"arxiv:1907.11692",
"transformers",
"lao-roberta-base-pos-tagger",
"license:mit",
"autotrain_compatible"
] | token-classification | false | w11wo | null | w11wo/lao-roberta-base-pos-tagger | 0 | null | transformers | 36,259 | ---
language: lo
tags:
- lao-roberta-base-pos-tagger
license: mit
widget:
- text: "ຮ້ອງ ມ່ວນ ແທ້ ສຽງດີ ອິຫຼີ"
---
## Lao RoBERTa Base POS Tagger
Lao RoBERTa Base POS Tagger is a part-of-speech token-classification model based on the [RoBERTa](https://arxiv.org/abs/1907.11692) model. The model was originally the p... |
wadeed/DialogGPT-small-chandlerbingg | b5182c72f0273c99e1f7b20fb71420c4d5d548bc | 2021-12-10T12:25:54.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | wadeed | null | wadeed/DialogGPT-small-chandlerbingg | 0 | null | transformers | 36,260 | ---
tags:
- conversational
---
#Chandler Bing DialoGPT Model |
wbmitcast/mymode03 | aaf3ad3feabb8c2a5681d045ba4b8b7879853760 | 2021-10-06T09:04:11.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wbmitcast | null | wbmitcast/mymode03 | 0 | null | transformers | 36,261 | Entry not found |
wbmitcast/mymodel04 | 598d680943405e4b28625b74fb921a8fb05ca91a | 2021-10-06T11:24:48.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wbmitcast | null | wbmitcast/mymodel04 | 0 | null | transformers | 36,262 | Entry not found |
we-are-groot/narrative_gen | f217239cf6bae7e38159d1d2f0fe089e57e5b8cb | 2022-02-16T16:18:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | we-are-groot | null | we-are-groot/narrative_gen | 0 | null | transformers | 36,263 | Entry not found |
webshell/wav2vec2-base-fine-tune-timit | 10c2d7c65c293fb248f34bb8db0ce5b1f84ee8d2 | 2021-12-10T09:58:10.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | webshell | null | webshell/wav2vec2-base-fine-tune-timit | 0 | null | transformers | 36,264 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-fine-tune-timit
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. -->
# wav2v... |
wenrenbutong/model_name1 | cd0b3a11795e665b87a28fbabc8bb4d9bbee7e08 | 2021-07-18T09:41:24.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wenrenbutong | null | wenrenbutong/model_name1 | 0 | null | transformers | 36,265 | Entry not found |
wesam266/wav2vec2-large-xlsr-53_english | 738cc7d6c99790623a74148847ebbc1c7ca1482c | 2022-01-23T02:40:28.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | wesam266 | null | wesam266/wav2vec2-large-xlsr-53_english | 0 | null | transformers | 36,266 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xlsr-53_english
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. -->
# wav2... |
widyanto/IndoT5-small-qg-hl | 60f5639a9f45b70fb350c45e3210a70f5803be7a | 2021-08-23T13:11:34.000Z | [
"pytorch",
"t5",
"feature-extraction",
"transformers"
] | feature-extraction | false | widyanto | null | widyanto/IndoT5-small-qg-hl | 0 | null | transformers | 36,267 | Entry not found |
wiktor7245/finetuning_m2m_de_pl | ac8fed1f13f8cf04d617154764124bc93d388779 | 2021-10-03T15:15:24.000Z | [
"pytorch",
"m2m_100",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | wiktor7245 | null | wiktor7245/finetuning_m2m_de_pl | 0 | null | transformers | 36,268 | Entry not found |
willemjan/indo1 | 90d31d516e910064681b47a5b8739efbe9f36fc5 | 2022-02-07T09:14:26.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:cc-by-nc-3.0",
"autotrain_compatible"
] | fill-mask | false | willemjan | null | willemjan/indo1 | 0 | null | transformers | 36,269 | ---
license: cc-by-nc-3.0
---
|
willemjan/indo2 | 8ed69bbbdeee9c29de3cbac0c3671c84cd5ee90d | 2022-02-07T09:17:20.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:cc-by-nc-3.0",
"autotrain_compatible"
] | fill-mask | false | willemjan | null | willemjan/indo2 | 0 | null | transformers | 36,270 | ---
license: cc-by-nc-3.0
---
|
willemjan/nl1 | 42a023aa1153bcfca58eea52da16348d65337e2b | 2022-02-07T08:44:23.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:cc-by-nc-3.0",
"autotrain_compatible"
] | fill-mask | false | willemjan | null | willemjan/nl1 | 0 | null | transformers | 36,271 | ---
license: cc-by-nc-3.0
---
|
willemjan/spa | 6707db380d441eb99d1911f99316515f406a0167 | 2022-02-07T09:21:31.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:cc-by-nc-sa-3.0",
"autotrain_compatible"
] | fill-mask | false | willemjan | null | willemjan/spa | 0 | null | transformers | 36,272 | ---
license: cc-by-nc-sa-3.0
---
|
wjc123/qa_finetuned | 19f64440ea49491e85416d203c371fed6bc346d0 | 2021-12-12T08:21:12.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | wjc123 | null | wjc123/qa_finetuned | 0 | null | transformers | 36,273 | Entry not found |
wjching/DialoGPT-small-ricksanchez | 5bae126e91ee1688d0f702c94acba7ec64978103 | 2021-08-28T07:41:39.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | wjching | null | wjching/DialoGPT-small-ricksanchez | 0 | null | transformers | 36,274 | ---
tags:
- conversational
---
# Rick Sanchez DialoGPT Model |
wolfrage89/annual_report_translation_id_en | a059bd9165b64b2cbaf050d73d17817021f0c17c | 2022-01-27T13:01:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | wolfrage89 | null | wolfrage89/annual_report_translation_id_en | 0 | 3 | transformers | 36,275 | ### Finetuned on annual report sentence pair
This marianMT has been further finetuned on annual report sentence pairs
## Test out at huggingface spaces!
https://huggingface.co/spaces/wolfrage89/finance_domain_translation_marianMT
## Sample colab notebook
https://colab.research.google.com/drive/1H57vwiah7n1JXvXYMqJ8dk... |
wudi7758521521/bert_cn | e6a081099ccf15f3e18b21462db8bda9c4ef4937 | 2021-07-30T05:21:13.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wudi7758521521 | null | wudi7758521521/bert_cn | 0 | null | transformers | 36,276 | Entry not found |
wudi7758521521/model_name | 96ded66eec7cc695ecaa61225906806abde397a4 | 2021-07-18T08:50:09.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wudi7758521521 | null | wudi7758521521/model_name | 0 | null | transformers | 36,277 | Entry not found |
xhyi/distilLED1_08_31_2021_v1 | e16a98892e18fdde855271d2c6e12cd52d215fc6 | 2021-08-31T09:05:37.000Z | [
"pytorch",
"led",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | xhyi | null | xhyi/distilLED1_08_31_2021_v1 | 0 | null | transformers | 36,278 | Entry not found |
xhyi/distilLED2_08_31_2021_v4 | 1acdcb6ed0062a119d1165e30cc7d38b1c60d06e | 2021-09-01T01:36:13.000Z | [
"pytorch",
"led",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | xhyi | null | xhyi/distilLED2_08_31_2021_v4 | 0 | null | transformers | 36,279 | Entry not found |
xhyi/distilLED4_09_01_2021_v6_2 | 04a969ebc405e0d9be14ffc84427e41c92731185 | 2021-09-02T06:28:25.000Z | [
"pytorch",
"led",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | xhyi | null | xhyi/distilLED4_09_01_2021_v6_2 | 0 | null | transformers | 36,280 | Step Training Loss Validation Loss Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure
100 3.049500 2.605496 0.172300 0.186900 0.151200
200 3.019400 2.567277 0.165100 0.189400 0.145000
300 3.014400 2.538830 0.157000 0.179200 0.134200
400 2.867200 2.490068 0.163600 0.177100 0.136200
500 2.723700 2.... |
xiaoheiqaq/DialoGPT-smallharrypotter | 5e7e95b6e0a7a20e71bf51a8c294fe90a5510aee | 2021-09-23T02:23:39.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | xiaoheiqaq | null | xiaoheiqaq/DialoGPT-smallharrypotter | 0 | null | transformers | 36,281 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
xinyang47/ai12 | 12f1adc77867a921be4458919a5d00ad7e3dfb24 | 2022-02-11T08:30:25.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | xinyang47 | null | xinyang47/ai12 | 0 | null | transformers | 36,282 | Entry not found |
xinyang47/ai12_cn | 5cf7b28f80e31361408244bd4468ead54188c821 | 2022-02-11T09:44:04.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | xinyang47 | null | xinyang47/ai12_cn | 0 | null | transformers | 36,283 | Entry not found |
xkang/distilbert-base-uncased-finetuned-imdb-accelerate | 5e3a80349786a144d8d039614a79bed94a885ac3 | 2021-12-27T07:41:02.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | xkang | null | xkang/distilbert-base-uncased-finetuned-imdb-accelerate | 0 | null | transformers | 36,284 | Entry not found |
xsway/wav2vec2-large-xlsr-georgian | b29b81945f5fa2e35fbb05da5256815d8cc71e20 | 2021-03-29T21:07:53.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ka",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | xsway | null | xsway/wav2vec2-large-xlsr-georgian | 0 | null | transformers | 36,285 | ---
language: ka
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec finetuned for Georgian
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... |
xujiacheng127/anchi-bert | 791927047feb2b8c2d9cca15f669f4514f094a8b | 2022-02-15T12:01:06.000Z | [
"pytorch"
] | null | false | xujiacheng127 | null | xujiacheng127/anchi-bert | 0 | null | null | 36,286 | import json
import requests
headers = {"Authorization": f"Bearer {API_TOKEN}"}
API_URL = "https://api-inference.huggingface.co/models/bert-base-uncased"
def query(payload):
data = json.dumps(payload)
response = requests.request("POST", API_URL, headers=headers, data=data)
return json.loads(response.conte... |
yahya1994/DialoGPT-small-DN-L | 9e3cc45576ef0ef381926a8909e3ef65df642e9b | 2021-09-11T02:02:21.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | yahya1994 | null | yahya1994/DialoGPT-small-DN-L | 0 | null | transformers | 36,287 | ---
tags:
- conversational
---
# L dialog |
yahya1994/DialoGPT-small-DN-Light | 6a1adccef77241b31d69e57993b7577b3c6cafd7 | 2021-09-09T20:59:27.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | yahya1994 | null | yahya1994/DialoGPT-small-DN-Light | 0 | null | transformers | 36,288 | ---
tags:
- conversational
---
# Light dialog |
yahya1994/DialoGPT-small-DN-Ryuk | 0279b7e3b1fec99bc1042721e093f652e001d705 | 2021-09-07T18:20:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | yahya1994 | null | yahya1994/DialoGPT-small-DN-Ryuk | 0 | null | transformers | 36,289 | ---
tags:
- conversational
---
# Ryuk dialog |
yahya1994/DialoGPT-small-ReZero-Subaru | 177f49117acb3e3ff25a89fa2ff4874b6a5bd5e3 | 2021-09-17T23:04:49.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | yahya1994 | null | yahya1994/DialoGPT-small-ReZero-Subaru | 0 | null | transformers | 36,290 | ---
tags:
- conversational
---
# Subaru dialog |
yair/HeadlineGeneration-sagemaker | aaaec00599b2fe7f830a9c9a2ba890ec2814443d | 2021-05-17T05:39:29.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | yair | null | yair/HeadlineGeneration-sagemaker | 0 | null | transformers | 36,291 |
---
language: en
tags:
- sagemaker
- bart
- summarization
license: apache-2.0
|
yair/HeadlineGeneration-sagemaker2 | 219eb6b792a3096c20b39ee2ddce15b1af34825e | 2021-05-18T08:45:49.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | yair | null | yair/HeadlineGeneration-sagemaker2 | 0 | null | transformers | 36,292 |
---
language: en
tags:
- sagemaker
- bart
- summarization
license: apache-2.0
- Training 3000 examples
|
yamako/dummy-model | 5544bb242919cd4ddf14bc4f66003b644d25e54b | 2021-09-07T11:32:36.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | yamako | null | yamako/dummy-model | 0 | null | transformers | 36,293 | Entry not found |
yancong/distilbert-base-uncased-finetuned-existence | e8526ad32154696a132c0bf6b3f740e0a3af132e | 2022-02-22T20:56:03.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | yancong | null | yancong/distilbert-base-uncased-finetuned-existence | 0 | null | transformers | 36,294 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-existence
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... |
yancong/distilbert-base-uncased-finetuned-mi | e9520ca46d230e064c871fb1c9348b5648a0d740 | 2022-02-22T21:47:23.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | yancong | null | yancong/distilbert-base-uncased-finetuned-mi | 0 | null | transformers | 36,295 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-mi
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. -->
... |
yancong/distilbert-base-uncased-finetuned-quantifier | de950ec0b19429f07f74fd7952b8445b8a9f42d2 | 2022-02-22T02:57:28.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | yancong | null | yancong/distilbert-base-uncased-finetuned-quantifier | 0 | null | transformers | 36,296 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-quantifier
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 commen... |
yarik921/Teflon_0.1 | 44d5c39ec9f1a15d0007693284ee35324ff2fed2 | 2021-12-14T09:19:49.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | yarik921 | null | yarik921/Teflon_0.1 | 0 | null | transformers | 36,297 | Entry not found |
yazdipour/text-to-sparql-t5-small-2021-10-17_18-47 | f0309db6e13def837a3d09766ef290707a6cc43a | 2021-10-17T19:48:35.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | yazdipour | null | yazdipour/text-to-sparql-t5-small-2021-10-17_18-47 | 0 | null | transformers | 36,298 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
metrics:
- f1
model-index:
- name: text-to-sparql-t5-small-2021-10-17_18-47
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
metrics:
- name: F1
type: f1
value: 0.234571442... |
yazdipour/text-to-sparql-t5-small-2021-10-18_09-32 | 5b97314b671c8a525c081e77785ab8374f874e52 | 2021-10-18T10:33:05.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | yazdipour | null | yazdipour/text-to-sparql-t5-small-2021-10-18_09-32 | 0 | null | transformers | 36,299 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
metrics:
- f1
model-index:
- name: text-to-sparql-t5-small-2021-10-18_09-32
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
metrics:
- name: F1
type: f1
value: 0.264587491... |
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