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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
tktung/aicovid_pretrain | 68af37da8e1f906b1849ef67896b1f2d0edd2215 | 2021-10-22T03:24:52.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"transformers"
] | null | false | tktung | null | tktung/aicovid_pretrain | 1 | null | transformers | 30,400 | Entry not found |
tli8hf/unqover-bert-large-uncased-squad | 2ab5130b5ff2f51ef858ddacb48bfc8878d7223e | 2021-05-20T07:58:54.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | tli8hf | null | tli8hf/unqover-bert-large-uncased-squad | 1 | null | transformers | 30,401 | Entry not found |
tli8hf/unqover-distilbert-base-uncased-squad | f04b7ddf1003e763a2d250768185f5cde721a285 | 2020-10-19T23:39:01.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | tli8hf | null | tli8hf/unqover-distilbert-base-uncased-squad | 1 | null | transformers | 30,402 | Entry not found |
tlkh/program-synthesis-gpt-neo-125m | 70be5917e071dc743b4c52e09097433a0dcbfc27 | 2021-09-29T02:32:15.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | tlkh | null | tlkh/program-synthesis-gpt-neo-125m | 1 | null | transformers | 30,403 | Entry not found |
tmills/timex-thyme-colon | f12ea29f54c1ca3ff16a8cb64e09af69ba03c4d3 | 2022-05-02T22:33:28.000Z | [
"pytorch",
"cnlpt",
"transformers"
] | null | false | tmills | null | tmills/timex-thyme-colon | 1 | null | transformers | 30,404 | Entry not found |
tnagata/dummy-model | 8f79339218139ed0e172d2d24ac0a3e7b2fb297c | 2022-02-18T12:21:27.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | tnagata | null | tnagata/dummy-model | 1 | null | transformers | 30,405 | Entry not found |
toast22a/race_natural_number_oqpl_mc | 6b430e7d9adc749159f4d7adf0ee2c24d47d60ad | 2021-05-23T13:11:24.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | toast22a | null | toast22a/race_natural_number_oqpl_mc | 1 | null | transformers | 30,406 | Entry not found |
toastynews/electra-hongkongese-large-generator | 527e5b4c45d3380bb2389c221d3f5277c9a2d350 | 2020-07-07T04:45:30.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | toastynews | null | toastynews/electra-hongkongese-large-generator | 1 | null | transformers | 30,407 | Entry not found |
toastynews/electra-hongkongese-small-generator | 67d0c9bfe0169b95964b8345a3fe16fc80ea4adc | 2020-07-07T04:13:10.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | toastynews | null | toastynews/electra-hongkongese-small-generator | 1 | null | transformers | 30,408 | Entry not found |
tolgaand/tolgaand | e224bc3475a026c149a8fc7c7422d52a6e5895de | 2021-09-19T01:31:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | tolgaand | null | tolgaand/tolgaand | 1 | null | transformers | 30,409 | Entry not found |
tom1804/DialoGPT-small-HP | f6bebfcd16fdad75089070795a648845f41fde82 | 2021-06-20T15:13:33.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | tom1804 | null | tom1804/DialoGPT-small-HP | 1 | null | transformers | 30,410 | Entry not found |
tom1804/HP | 716e276111628a3abcf305a66150e10422f13342 | 2021-06-20T15:40:46.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | tom1804 | null | tom1804/HP | 1 | null | transformers | 30,411 | ---
tags:
- conversational
---
# My Awesome Model |
tom1804/HP_last | 2af3ef0f1dff2aee3640178bed094c81826b7c49 | 2021-06-20T15:48:05.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | tom1804 | null | tom1804/HP_last | 1 | null | transformers | 30,412 | ---
tags:
- conversational
---
# My Awesome Model |
tonyalves/wav2vec2-300M-teste2 | 1cbd3e8daa16cb17ffc035d1f92c96e7cb9d98af | 2022-01-09T17:16:10.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | tonyalves | null | tonyalves/wav2vec2-300M-teste2 | 1 | null | transformers | 30,413 | ---
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-300M-teste2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-... |
trangdieu/bert-large-retrained-2-epochs | b4cadaf94b220ae5bdaf480f72709ee51ea583d7 | 2021-07-19T15:21:06.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | trangdieu | null | trangdieu/bert-large-retrained-2-epochs | 1 | null | transformers | 30,414 | Entry not found |
trangdieu/bert-large-retrained-4-epochs | bfd9fa35309837b8cd55b6984b1bb5d4a00cbc11 | 2021-07-19T15:26:13.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | trangdieu | null | trangdieu/bert-large-retrained-4-epochs | 1 | null | transformers | 30,415 | Entry not found |
trangdieu/distilroberta-retrained-6-epochs | 82f856f1bae87af68735b3b8bdf1287c09cc6a49 | 2021-05-30T03:57:07.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | trangdieu | null | trangdieu/distilroberta-retrained-6-epochs | 1 | null | transformers | 30,416 | Entry not found |
transZ/BiBERT-ViBa | 648ab003886d8ac640cb81324eb8e6f226e707f6 | 2022-02-10T15:56:24.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | transZ | null | transZ/BiBERT-ViBa | 1 | null | transformers | 30,417 | Entry not found |
transformersbook/xlm-roberta-base-finetuned-panx-de | a14adde7f455d19a9106f07e7ab1ebf1083fabb4 | 2022-02-05T17:07:41.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | transformersbook | null | transformersbook/xlm-roberta-base-finetuned-panx-de | 1 | null | transformers | 30,418 | ---
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:... |
ttumyche/bluebert | 5542d51cf239eb306590472ac1602d84b166a2d8 | 2020-09-21T04:57:19.000Z | [
"pytorch",
"transformers"
] | null | false | ttumyche | null | ttumyche/bluebert | 1 | null | transformers | 30,419 | Entry not found |
tucan9389/distilbert-base-uncased-finetuned-squad | e2736808f801c450ab89a660b4cb1a2a9f74a091 | 2021-11-17T16:27:10.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | tucan9389 | null | tucan9389/distilbert-base-uncased-finetuned-squad | 1 | null | transformers | 30,420 | ---
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... |
tyoyo/byt5-base-TEDxJP-1body-0context-lr-small | 67edf94c97d2874f91df28b738a371b5ae882ea6 | 2021-11-25T14:44:51.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tyoyo | null | tyoyo/byt5-base-TEDxJP-1body-0context-lr-small | 1 | null | transformers | 30,421 | Entry not found |
tyoyo/byt5-base-TEDxJP-1in-1out | 0193bd1e911b5714c8d1c779827707ce54543642 | 2021-11-25T12:22:24.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tyoyo | null | tyoyo/byt5-base-TEDxJP-1in-1out | 1 | null | transformers | 30,422 | Entry not found |
tyoyo/t5-base-TEDxJP-11body-0context | e0566ed9b359cedfea5df2fe42758f2ddd14d00e | 2021-12-02T17:37:36.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:te_dx_jp",
"transformers",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | tyoyo | null | tyoyo/t5-base-TEDxJP-11body-0context | 1 | null | transformers | 30,423 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- te_dx_jp
model-index:
- name: t5-base-TEDxJP-11body-0context
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove th... |
tyoyo/t5-base-TEDxJP-1body-0context-lr-small | e0c2db0084d7feab0a9fc0dde2993b91bfaf91b4 | 2021-11-26T01:39:24.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | tyoyo | null | tyoyo/t5-base-TEDxJP-1body-0context-lr-small | 1 | null | transformers | 30,424 | Entry not found |
tyoyo/t5-base-TEDxJP-1body-10context | f6207c193fe3f13f9810fa00fffddc7650221a50 | 2021-11-30T19:40:13.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:te_dx_jp",
"transformers",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | tyoyo | null | tyoyo/t5-base-TEDxJP-1body-10context | 1 | null | transformers | 30,425 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- te_dx_jp
model-index:
- name: t5-base-TEDxJP-1body-10context
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove th... |
tyoyo/t5-base-TEDxJP-1body-2context | 2be8122cc99903a0ac0884551509b02a7b7cc729 | 2021-12-06T08:37:39.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:te_dx_jp",
"transformers",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | tyoyo | null | tyoyo/t5-base-TEDxJP-1body-2context | 1 | null | transformers | 30,426 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- te_dx_jp
model-index:
- name: t5-base-TEDxJP-1body-2context
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... |
tyoyo/t5-base-TEDxJP-1body-3context | bb0e219825caaf6ed9611f63e0851bc90aa1fc18 | 2021-12-03T21:07:34.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:te_dx_jp",
"transformers",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | tyoyo | null | tyoyo/t5-base-TEDxJP-1body-3context | 1 | null | transformers | 30,427 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- te_dx_jp
model-index:
- name: t5-base-TEDxJP-1body-3context
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove thi... |
uclanlp/plbart-cs-java | fa09d595f1a3b9950cee749c13b0feaa2d08ad4e | 2021-11-09T17:08:03.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-cs-java | 1 | null | transformers | 30,428 | Entry not found |
uclanlp/plbart-multi_task-ruby | fa64c4ae5d694c20331834cf06857c623d6a0e45 | 2022-03-02T07:32:39.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-multi_task-ruby | 1 | null | transformers | 30,429 | Entry not found |
uclanlp/plbart-single_task-en_go | 7f519de25814cf4e42b848fa62e2e0efea50c2c1 | 2022-03-02T07:08:42.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-en_go | 1 | null | transformers | 30,430 | Entry not found |
uclanlp/plbart-single_task-en_js | 8002294481873d498f34ffae383abd3f74f675fb | 2022-03-02T07:10:01.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-en_js | 1 | null | transformers | 30,431 | Entry not found |
uclanlp/plbart-single_task-java_en | 3ec7e9e770cb2450fd2870a35b4c3dd0a3d04ae3 | 2022-03-02T06:57:42.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-java_en | 1 | null | transformers | 30,432 | Entry not found |
uclanlp/plbart-single_task-strong-generation | 7694c7b4382823b4aea57bc49faece3f95a146d1 | 2022-03-02T07:20:57.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-strong-generation | 1 | null | transformers | 30,433 | Entry not found |
uclanlp/visualbert-vqa-pre | 61b7a7df390dd946c119da9766848078ef6e463b | 2021-05-31T11:37:02.000Z | [
"pytorch",
"visual_bert",
"pretraining",
"transformers"
] | null | false | uclanlp | null | uclanlp/visualbert-vqa-pre | 1 | 1 | transformers | 30,434 | Entry not found |
ufal/byt5-small-multilexnorm2021-sl | befcb53cc6d5c373194be9315eafba133be3647e | 2021-10-20T12:49:57.000Z | [
"pytorch",
"t5",
"text2text-generation",
"sl",
"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-sl | 1 | null | transformers | 30,435 | ---
language: sl
datasets:
- mc4
- wikipedia
- multilexnorm
tags:
- lexical normalization
license: apache-2.0
---
# Fine-tuned ByT5-small for MultiLexNorm (Slovenian version)
This is the official release of the fine-tuned models for... |
ughvom/britnayBOTMAIN | 674d6c5bbab9f02c2d0786b5628e6f8b7f1f6208 | 2022-01-09T19:32:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ughvom | null | ughvom/britnayBOTMAIN | 1 | null | transformers | 30,436 | ---
tags:
- conversational
---
# britnayBOTMAIN Model |
umr55766/DialogGPT-small-peppa-pig | 608fbffa1145f9f82f2b0b8dd496a998e3267472 | 2021-08-30T17:08:23.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | umr55766 | null | umr55766/DialogGPT-small-peppa-pig | 1 | null | transformers | 30,437 | ---
tags:
- conversational
---
# Peppa Pig DialogGPT-small Model |
unicamp-dl/mt5-base-en-pt-msmarco-v2 | 129d263c50bc3cd1d0c6effe794c542ea3ad3ef5 | 2022-01-05T23:16:47.000Z | [
"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-en-pt-msmarco-v2 | 1 | null | transformers | 30,438 | ---
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-en-pt-msmarco-v2 is a mT5-based model fine-tuned on a bilingual version of MS M... |
unicamp-dl/ptt5-base-pt-msmarco-10k-v1 | f849cb52d0140520cd3cfc85a24e092ae04fea21 | 2022-01-05T21:29:26.000Z | [
"pytorch",
"t5",
"text2text-generation",
"pt",
"dataset:msmarco",
"arxiv:2108.13897",
"transformers",
"msmarco",
"tensorflow",
"pt-br",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | unicamp-dl | null | unicamp-dl/ptt5-base-pt-msmarco-10k-v1 | 1 | null | transformers | 30,439 | ---
language: pt
license: mit
tags:
- msmarco
- t5
- pytorch
- tensorflow
- pt
- pt-br
datasets:
- msmarco
widget:
- text: "Texto de exemplo em português"
inference: false
---
# PTT5-base Reranker finetuned on Portuguese MS MARCO
## Introduction
ptt5-base-msmarco-pt-10k-v1 is a T5-based model pretrained in the BrWac co... |
usami/electra-base-discriminator-finetuned-squad | 5e3311eaafbc4807b21829e0bea8452473e0ab3c | 2021-11-24T09:39:13.000Z | [
"pytorch",
"electra",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | usami | null | usami/electra-base-discriminator-finetuned-squad | 1 | null | transformers | 30,440 | Entry not found |
usernamtadejm/flairbookmodel1234 | 1d12e5a2b5e4903e5b21eaef7bd496f9bdc96676 | 2022-01-07T15:35:52.000Z | [
"pytorch",
"flair",
"token-classification"
] | token-classification | false | usernamtadejm | null | usernamtadejm/flairbookmodel1234 | 1 | null | flair | 30,441 | ---
tags:
- flair
- token-classification
widget:
- text: "does this work"
---
## Test model README
Some test README description
|
vachevkd/dg-t5sm-race-v01 | f40d44a72e9ace5032430c9bb621a1d214345a8e | 2021-12-20T20:00:59.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | vachevkd | null | vachevkd/dg-t5sm-race-v01 | 1 | null | transformers | 30,442 | Entry not found |
vaishnavi/indic-bert-512 | 5f753cca3ef0e6c4ec87f26aad82ed2026c550d3 | 2021-04-08T06:38:32.000Z | [
"pytorch",
"albert",
"en",
"dataset:AI4Bharat IndicNLP Corpora",
"transformers",
"license:mit"
] | null | false | vaishnavi | null | vaishnavi/indic-bert-512 | 1 | null | transformers | 30,443 | ---
language: en
license: mit
datasets:
- AI4Bharat IndicNLP Corpora
---
# IndicBERT
IndicBERT is a multilingual ALBERT model pretrained exclusively on 12 major Indian languages. It is pre-trained on our novel monolingual corpus of around 9 billion tokens and subsequently evaluated on a set of diverse tasks. IndicBER... |
valeriazen/ruT5-base-finetuned-xsum | 16c05b534d2cfc77907650c7f8581311f071b449 | 2022-01-18T17:07:48.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | valeriazen | null | valeriazen/ruT5-base-finetuned-xsum | 1 | null | transformers | 30,444 | Entry not found |
valeriulacatusu/distilbert-base-uncased-finetuned-ner | 204231d2eee5c3a81a643930820504ed8ea04b0b | 2021-12-21T14:44:24.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | valeriulacatusu | null | valeriulacatusu/distilbert-base-uncased-finetuned-ner | 1 | null | transformers | 30,445 | Entry not found |
valhalla/cogview-vqvae-test | cd3cf9f3b20baf18bd702f3ff7374bbf53c72cef | 2021-06-21T07:09:01.000Z | [
"pytorch",
"cog_view",
"transformers"
] | null | false | valhalla | null | valhalla/cogview-vqvae-test | 1 | null | transformers | 30,446 | Entry not found |
valhalla/s2t_covost2_en_de_small | e41dbdadc2156479ff5905d96a2abb4b1a557681 | 2021-02-24T07:22:30.000Z | [
"pytorch",
"speech_to_text_transformer",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | valhalla | null | valhalla/s2t_covost2_en_de_small | 1 | null | transformers | 30,447 | Entry not found |
varun3dec/Pbi-Summarization-model | 989b30bc2eb16715877d48c00b7a752e4f80b210 | 2022-01-10T07:09:54.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | varun3dec | null | varun3dec/Pbi-Summarization-model | 1 | null | transformers | 30,448 | |
vdivya/wav2vec2-base-timit-demo-colab | 7ba031b54425313960e43c8deaade5154469245d | 2022-01-03T09:51:04.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | vdivya | null | vdivya/wav2vec2-base-timit-demo-colab | 1 | null | transformers | 30,449 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-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. -->
# wav2... |
versae/mt5-base-finetuned-modernisa | d807ca7f3c8a6c21fcc5abd722afe0803cbc6ee6 | 2022-07-20T10:25:19.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"dataset:versae/modernisa",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | versae | null | versae/mt5-base-finetuned-modernisa | 1 | 1 | transformers | 30,450 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
datasets:
- versae/modernisa
model-index:
- name: mt5-base-finetuned-modernisa
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... |
vesteinn/XLMr-ENIS-QA-IsQ-EnA | edbb89323deefc3041b82352590d7fa142c2a27c | 2021-09-27T22:09:30.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | vesteinn | null | vesteinn/XLMr-ENIS-QA-IsQ-EnA | 1 | null | transformers | 30,451 | ----
language:
- is
- en
thumbnail:
tags:
- icelandic
- qa
license:
datasets:
- ic3
- igc
metrics:
- em
- f1
widget:
- text: "Hverrar trúar var Halldór Laxness ?"
context: "Halldór Kiljan Laxness was born in 1902 in Reykjavik , the capital of Iceland , but spent his youth in the country . From the age of seventeen ... |
vesteinn/open-qa-icelandic-densephrases | 9c4edf656c25cd1df44cce15bd7b0d346c85fd84 | 2021-09-30T10:35:31.000Z | [
"pytorch",
"xlm-roberta",
"transformers"
] | null | false | vesteinn | null | vesteinn/open-qa-icelandic-densephrases | 1 | null | transformers | 30,452 | Entry not found |
vinko/shitposting_AI | e83abecb7c0d7729ddd2a1d12c43f67ad0c697f0 | 2022-01-18T13:07:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | vinko | null | vinko/shitposting_AI | 1 | null | transformers | 30,453 | Entry not found |
vionwinnie/t5-reddit | 2d017e49c33a9a6e709eb3b3ddf93374395cc6ce | 2021-07-07T08:15:48.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | vionwinnie | null | vionwinnie/t5-reddit | 1 | 1 | transformers | 30,454 | This T5 small model finetuned on Reddit data.
It has two subtasks:
1. title generation
2. tag classification
|
vocab-transformers/dense_encoder-msmarco-distilbert-word2vec256k-MLM_210k_emb_updated | 336c0b6088cc26fcab7239d66c80eb34bf7093aa | 2022-02-21T20:13:56.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | vocab-transformers | null | vocab-transformers/dense_encoder-msmarco-distilbert-word2vec256k-MLM_210k_emb_updated | 1 | null | sentence-transformers | 30,455 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# dense_encoder-msmarco-distilbert-word2vec256k-MLM_210k
**Note: Token embeddings where updated!**
This model is based on [vocab-transformers/msmarco-distilbert-word2vec256k-MLM_210k](htt... |
vocab-transformers/msmarco-distilbert-word2vec256k-MLM_210k_emb_updated | 03578fe76922f13abf1d8ccf5bda6ee4fe83ecbb | 2022-02-21T20:12:32.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | vocab-transformers | null | vocab-transformers/msmarco-distilbert-word2vec256k-MLM_210k_emb_updated | 1 | null | transformers | 30,456 | # 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 210k steps... |
vocab-transformers/msmarco-distilbert-word2vec256k-MLM_445k_emb_updated | 7b8f2c0865874a1db14688b860af694dde703da7 | 2022-02-21T20:12:37.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | vocab-transformers | null | vocab-transformers/msmarco-distilbert-word2vec256k-MLM_445k_emb_updated | 1 | null | transformers | 30,457 | # 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 445k steps... |
voidful/bart_base_cnndm | 28ec401fba1ea98d9ad1f3eec6222418efbc037f | 2021-10-27T08:49:10.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | voidful | null | voidful/bart_base_cnndm | 1 | null | transformers | 30,458 | Entry not found |
voidful/bart_base_squad_cq_a | 081a618aa7e71cc74f8b5d2956cfe411e7885e78 | 2021-07-04T16:27:53.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | voidful | null | voidful/bart_base_squad_cq_a | 1 | null | transformers | 30,459 | Entry not found |
voidful/phoneme_bart_base | 0fae7c4e82f8d936b2bf2c12924262931bc3f49e | 2022-02-21T06:32:07.000Z | [
"pytorch",
"bart",
"feature-extraction",
"transformers"
] | feature-extraction | false | voidful | null | voidful/phoneme_bart_base | 1 | null | transformers | 30,460 | Entry not found |
vppvgit/BiblItBERT-1 | 6db466ee095bed01f992ab3086ca6183400c99f9 | 2021-09-27T09:40:47.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | vppvgit | null | vppvgit/BiblItBERT-1 | 1 | null | transformers | 30,461 | ---
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: BiblItBERT-1
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 compl... |
vppvgit/BiblItBERT | d4b82537930506124f4105dc06100afac515e30c | 2021-09-20T17:47:46.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | vppvgit | null | vppvgit/BiblItBERT | 1 | null | transformers | 30,462 | Entry not found |
vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-50.0sparse-qat-lt | 592f522eaa3c800b2c1c185c78f107088d873939 | 2022-01-09T03:25:27.000Z | [
"pytorch",
"onnx",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-50.0sparse-qat-lt | 1 | null | transformers | 30,463 | 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 50%... |
vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-60.0sparse-qat-lt | 03c83741f6b8dc1eaa90d7917df88e5a69ebf53e | 2022-01-09T03:14:14.000Z | [
"pytorch",
"onnx",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-squadv1-block-pruning-hybrid-filled-lt-nncf-60.0sparse-qat-lt | 1 | null | transformers | 30,464 | 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 60%... |
vuiseng9/bert-base-squadv1-pruneofa-90pc-bt-qat-lt | 7bf8dffa024ab05b80105e2f05cd525e04500bda | 2022-01-19T19:13:40.000Z | [
"pytorch",
"onnx",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-squadv1-pruneofa-90pc-bt-qat-lt | 1 | null | transformers | 30,465 | This model is a downstream optimization of [```vuiseng9/bert-base-squadv1-pruneofa-90pc-bt```](https://huggingface.co/vuiseng9/bert-base-squadv1-pruneofa-90pc-bt) using [OpenVINO/NNCF](https://github.com/openvinotoolkit/nncf). Applied optimization includes:
1. magnitude sparsification at 0% upon initialization. Custom ... |
vuiseng9/bert-base-squadv1-qat-bt | 1ab83ad07ccb90df7acdb59b96ea0e19e54cc17e | 2022-01-19T19:09:40.000Z | [
"pytorch",
"onnx",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-squadv1-qat-bt | 1 | null | transformers | 30,466 | This model is a quantized-aware transfer learning of bert-base-uncased on Squadv1 using [OpenVINO/NNCF](https://github.com/openvinotoolkit/nncf). Applied optimization includes:
1. NNCF Quantize-Aware Training - Symmetric 8-bit for both weight and activation on all learnable layers.
2. Custom distillation with fine-tune... |
vuiseng9/bert-base-uncased-squadv1-52.0-sparse | e833fd491943acad8e9ee5f59c4c589a049df950 | 2021-11-11T18:14:37.000Z | [
"pytorch",
"tf",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-uncased-squadv1-52.0-sparse | 1 | null | transformers | 30,467 | * 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... |
vuiseng9/bert-base-uncased-squadv1-59.6-sparse | f3741942661b7e94d817a0bc6b5dc07b93569f87 | 2021-11-11T18:13:58.000Z | [
"pytorch",
"tf",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-uncased-squadv1-59.6-sparse | 1 | null | transformers | 30,468 | * 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... |
vuiseng9/bert-base-uncased-squadv1-65.1-sparse | 101dba914e94ac48d3d5cfd4daa33ab633f85391 | 2021-11-11T18:13:39.000Z | [
"pytorch",
"tf",
"bert",
"transformers"
] | null | false | vuiseng9 | null | vuiseng9/bert-base-uncased-squadv1-65.1-sparse | 1 | null | transformers | 30,469 | * 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... |
vuiseng9/pegasus-billsum | 4dc4997f8b8ce742fd3e51df1390c499a9548d68 | 2021-12-21T01:41:33.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | vuiseng9 | null | vuiseng9/pegasus-billsum | 1 | null | transformers | 30,470 | This model is developed with transformers v4.13 with minor patch in this [fork](https://github.com/vuiseng9/transformers/tree/pegasus-v4p13).
# Setup
```bash
git clone https://github.com/vuiseng9/transformers
cd transformers
git checkout pegasus-v4p13 && git reset --hard 41eeb07
# installation, set summarization depen... |
vutankiet2901/wav2vec2-xls-r-1b-ja | 2c4a1631f81d4c13742d8b8250db5582e6accf7a | 2022-03-23T18:34:17.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"ja",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"common-voice",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | vutankiet2901 | null | vutankiet2901/wav2vec2-xls-r-1b-ja | 1 | null | transformers | 30,471 | ---
license: apache-2.0
language:
- ja
tags:
- automatic-speech-recognition
- common-voice
- hf-asr-leaderboard
- ja
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: wav2vec2-xls-r-1b
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... |
w11wo/javanese-distilbert-small-imdb | 969240eb0f9966c1b304aa8463b150571409a6fa | 2022-02-14T16:18:45.000Z | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"jv",
"dataset:w11wo/imdb-javanese",
"arxiv:1910.01108",
"transformers",
"javanese-distilbert-small-imdb",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | w11wo | null | w11wo/javanese-distilbert-small-imdb | 1 | null | transformers | 30,472 | ---
language: jv
tags:
- javanese-distilbert-small-imdb
license: mit
datasets:
- w11wo/imdb-javanese
widget:
- text: "Film favoritku yaiku Interstellar [MASK] Christopher Nolan."
---
## Javanese DistilBERT Small IMDB
Javanese DistilBERT Small IMDB is a masked language model based on the [DistilBERT model](https://arxi... |
w11wo/javanese-distilbert-small | 5393d48a83e961b631c3d695cc84d54cd0903a2e | 2022-02-14T16:18:34.000Z | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"jv",
"dataset:wikipedia",
"arxiv:1910.01108",
"transformers",
"javanese-distilbert-small",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | w11wo | null | w11wo/javanese-distilbert-small | 1 | null | transformers | 30,473 | ---
language: jv
tags:
- javanese-distilbert-small
license: mit
datasets:
- wikipedia
widget:
- text: "Joko [MASK] wis kelas siji SMA."
---
## Javanese DistilBERT Small
Javanese DistilBERT Small is a masked language model based on the [DistilBERT model](https://arxiv.org/abs/1910.01108). It was trained on the latest (... |
w11wo/javanese-roberta-small | 785f5a75ba398e554c999376da26e5b1ae978b3b | 2022-02-14T16:17:41.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"jv",
"dataset:wikipedia",
"arxiv:1907.11692",
"transformers",
"javanese-roberta-small",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | w11wo | null | w11wo/javanese-roberta-small | 1 | null | transformers | 30,474 | ---
language: jv
tags:
- javanese-roberta-small
license: mit
datasets:
- wikipedia
widget:
- text: "Ing mangsa rendheng awakedhewe kudu pinter njaga <mask>."
---
## Javanese RoBERTa Small
Javanese RoBERTa Small is a masked language model based on the [RoBERTa model](https://arxiv.org/abs/1907.11692). It was trained on... |
w11wo/lao-roberta-base | 4eb8f4edd99d33a178c00f5b04f615205e18031d | 2021-12-05T15:55:09.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"lo",
"dataset:oscar-corpus/OSCAR-2109",
"arxiv:1907.11692",
"transformers",
"lao-roberta-base",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | w11wo | null | w11wo/lao-roberta-base | 1 | 1 | transformers | 30,475 | ---
language: lo
tags:
- lao-roberta-base
license: mit
datasets:
- oscar-corpus/OSCAR-2109
---
## Lao RoBERTa Base
Lao RoBERTa Base is a masked language model based on the [RoBERTa](https://arxiv.org/abs/1907.11692) model. It was trained on the [OSCAR-2109](https://huggingface.co/datasets/oscar-corpus/OSCAR-2109)... |
wangj2/domaingen | 0866327f5c582d4b73604ecf450b75789714f38b | 2021-05-23T13:46:02.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | wangj2 | null | wangj2/domaingen | 1 | null | transformers | 30,476 | Entry not found |
wangst/dummy-model | 200585467ec0f0df8c25a56cf2d2746e68475517 | 2021-11-19T18:24:06.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wangst | null | wangst/dummy-model | 1 | null | transformers | 30,477 | Entry not found |
wbmitcast/mymodel005 | e4c8b2d684912f6c4c8175e08084c44bc4388b6b | 2021-10-29T02:23:30.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wbmitcast | null | wbmitcast/mymodel005 | 1 | null | transformers | 30,478 | Entry not found |
wbmitcast/mymodel007 | 2ac7bca70e71a205a903ba2524198f3c504986de | 2021-11-02T03:52:20.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wbmitcast | null | wbmitcast/mymodel007 | 1 | null | transformers | 30,479 | Entry not found |
weixyan/codegpt_py150 | cf0e250d9efc3b2dfd98f5fdead8b53c4f5fc06c | 2021-08-30T09:26:16.000Z | [
"pytorch"
] | null | false | weixyan | null | weixyan/codegpt_py150 | 1 | null | null | 30,480 | Entry not found |
wesam266/px | b46ec223cef7737ff22b8a50ea4b02326c24c5b4 | 2022-01-23T09:47:46.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | wesam266 | null | wesam266/px | 1 | null | transformers | 30,481 | Entry not found |
widyanto/IndoT5-small-qg | 09f73fd84e15c75fe0a02bc42369a6c627289c9d | 2021-08-24T00:53:22.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | widyanto | null | widyanto/IndoT5-small-qg | 1 | null | transformers | 30,482 | Entry not found |
willemjan/eng | 8a4584a6b68b2dfe4687341e2e19d22da1c97dc1 | 2022-02-07T09:23:20.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:cc-by-nc-sa-3.0",
"autotrain_compatible"
] | fill-mask | false | willemjan | null | willemjan/eng | 1 | null | transformers | 30,483 | ---
license: cc-by-nc-sa-3.0
---
|
willemjan/nl2 | 706c0f3cc856fea25fd865d248e162c4235a32a8 | 2022-02-07T08:52:58.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:cc-by-nc-3.0",
"autotrain_compatible"
] | fill-mask | false | willemjan | null | willemjan/nl2 | 1 | null | transformers | 30,484 | ---
license: cc-by-nc-3.0
---
|
wilsontam/bert-base-uncased-dstc9 | 0c61b9deb8374ce9ec5aaa7acd346a44aa57fbe9 | 2021-12-26T14:00:21.000Z | [
"pytorch",
"bert",
"fill-mask",
"en",
"transformers",
"dstc10",
"autotrain_compatible"
] | fill-mask | false | wilsontam | null | wilsontam/bert-base-uncased-dstc9 | 1 | null | transformers | 30,485 | ---
language: "en"
tags:
- dstc10
widget:
- text: "Can you accommodate large [MASK] ?"
---
# Goal
This Bert model is trained using DSTC9 training + validation data for dialogue modeling purpose.
Data link: https://github.com/alexa/alexa-with-dstc9-track1-dataset
Credit: Shuhan Yuan, Wilson Tam |
wjc123/dobule_klue | 0e54ae0af8b929ccfcb2badf3b698d5bfca141b8 | 2021-12-06T10:54:19.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | wjc123 | null | wjc123/dobule_klue | 1 | null | transformers | 30,486 | Entry not found |
wjc123/double_klue2 | 6c57b314b71e7fc270e026106399dfb777e32881 | 2021-12-07T13:59:14.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | wjc123 | null | wjc123/double_klue2 | 1 | null | transformers | 30,487 | Entry not found |
wtrClover/DialoGPT-small-Flutterbot | 334497bc5ce9c3f042729cc9c84e7dcd26c6be7f | 2022-01-27T23:38:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | wtrClover | null | wtrClover/DialoGPT-small-Flutterbot | 1 | null | transformers | 30,488 | ---
tags:
- conversational
---
# MLP DialoGPT Model based on Fluttershy |
wudi7758521521/kaikai_model2 | 3f2a899e125eec4ee285ef1b671bb77a2e24345e | 2021-07-18T02:54:51.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wudi7758521521 | null | wudi7758521521/kaikai_model2 | 1 | null | transformers | 30,489 | Entry not found |
wuyanzu/2022_02_10 | 313b59e3dc4fa1c3e64ac4945eeff8ceed18f327 | 2022-02-10T13:32:43.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | wuyanzu | null | wuyanzu/2022_02_10 | 1 | null | transformers | 30,490 | Entry not found |
x10ng/gpt2-wikitext2 | 61b0fcc7a781902770daff05ca4e47aba961a2c1 | 2022-01-10T16:00:26.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | x10ng | null | x10ng/gpt2-wikitext2 | 1 | null | transformers | 30,491 | Entry not found |
xdwang/tmp | 86f254b76334b658219d6219c11594ecc07540a8 | 2022-02-07T04:27:52.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | xdwang | null | xdwang/tmp | 1 | null | transformers | 30,492 | Entry not found |
McGill-NLP/electra-medal | 870a3ddd48d0f2e48fd7f45e066993736981e7a7 | 2020-11-16T18:44:46.000Z | [
"pytorch",
"tf",
"electra",
"feature-extraction",
"transformers"
] | feature-extraction | false | McGill-NLP | null | McGill-NLP/electra-medal | 1 | null | transformers | 30,493 | Entry not found |
xhluca/tapas-nq-hn-retriever-large-0 | 7e5da2904f8e71fc476fbb6deeac4386eb998ee8 | 2022-02-10T03:39:57.000Z | [
"pytorch",
"tapas",
"feature-extraction",
"transformers"
] | feature-extraction | false | xhluca | null | xhluca/tapas-nq-hn-retriever-large-0 | 1 | null | transformers | 30,494 | Entry not found |
xhluca/tapas-nq-hn-retriever-large-1 | 32d9c42cec8984c3158561c8dabbd0132827bfe7 | 2022-02-10T03:40:23.000Z | [
"pytorch",
"tapas",
"feature-extraction",
"transformers"
] | feature-extraction | false | xhluca | null | xhluca/tapas-nq-hn-retriever-large-1 | 1 | null | transformers | 30,495 | Entry not found |
xhluca/tapas-nq-hn-retriever-medium-0 | bbdf66f383fc082b145b62955e4a467eb662894b | 2022-02-10T02:48:54.000Z | [
"pytorch",
"tapas",
"feature-extraction",
"transformers"
] | feature-extraction | false | xhluca | null | xhluca/tapas-nq-hn-retriever-medium-0 | 1 | null | transformers | 30,496 | Entry not found |
xhyi/PT_GPTNEO125_ATG | 990b3a764568de56cb4153362cdd17f60463b7b2 | 2021-09-02T18:03:50.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | xhyi | null | xhyi/PT_GPTNEO125_ATG | 1 | null | transformers | 30,497 | Entry not found |
xhyi/distilLED3_08_31_2021_v5 | f02048cf4ccf3de7536dddd07bdbfeb81614823d | 2021-09-02T01:44:58.000Z | [
"pytorch",
"led",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | xhyi | null | xhyi/distilLED3_08_31_2021_v5 | 1 | null | transformers | 30,498 | \nTraining Loss Validation Loss Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure
2.880900 2.715085 0.121400 0.142300 0.117100
+200 steps
total = 440 steps
tokenization:
max article: 8192
max abstract: 512 |
xiejiafang/bert_finetuning_test | c8ec728d13f32673807abac48f1717b9f544fb36 | 2021-07-18T02:37:10.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | xiejiafang | null | xiejiafang/bert_finetuning_test | 1 | null | transformers | 30,499 | Entry not found |
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