T5模型汇总#

下表汇总介绍了目前PaddleNLP支持的T5模型对应预训练权重。 关于模型的具体细节可以参考对应链接。

Pretrained Weight

Language

Details of the model

t5-small

English

6-layer, 512-hidden, 8-heads, 93M parameters. T5 small model.

t5-base

English

12-layer, 768-hidden, 12-heads, 272M parameters. T5 base model.

t5-large

English

24-layer, 1024-hidden, 16-heads, 803M parameters. T5 large model.

t5-v1_1-base

English

Please refer to: t5-v1_1-base

t5-v1_1-large

English

Please refer to: t5-v1_1-large

Langboat/mengzi-t5-base

Chinese

Please refer to: Langboat/mengzi-t5-base

Langboat/mengzi-t5-base-mt

Chinese

Please refer to: Langboat/mengzi-t5-base-mt

deep-learning-analytics/wikihow-t5-small

English

Please refer to: deep-learning-analytics/wikihow-t5-small

sberbank-ai/ruT5-base

English

Please refer to: sberbank-ai/ruT5-base

Michau/t5-base-en-generate-headline

English

Please refer to: Michau/t5-base-en-generate-headline

google/t5-v1_1-small

English

Please refer to: google/t5-v1_1-small

prithivida/parrot_paraphraser_on_T5

English

Please refer to: prithivida/parrot_paraphraser_on_T5

prithivida/grammar_error_correcter_v1

English

Please refer to: prithivida/grammar_error_correcter_v1

valhalla/t5-small-qg-hl

English

Please refer to: valhalla/t5-small-qg-hl

valhalla/t5-small-qa-qg-hl

English

Please refer to: valhalla/t5-small-qa-qg-hl

ramsrigouthamg/t5-large-paraphraser-diverse-high-quality

English

Please refer to: ramsrigouthamg/t5-large-paraphraser-diverse-high-quality

mrm8488/t5-base-finetuned-common_gen

English

Please refer to: mrm8488/t5-base-finetuned-common_gen

valhalla/t5-small-e2e-qg

English

Please refer to: valhalla/t5-small-e2e-qg

sonoisa/t5-base-japanese

japanese

Please refer to: sonoisa/t5-base-japanese

google/t5-base-lm-adapt

English

Please refer to: google/t5-base-lm-adapt

google/t5-small-lm-adapt

English

Please refer to: google/t5-small-lm-adapt

valhalla/t5-small-qg-prepend

English

Please refer to: valhalla/t5-small-qg-prepend

prithivida/informal_to_formal_styletransfer

English

Please refer to: prithivida/informal_to_formal_styletransfer

KETI-AIR/ke-t5-base

English

Please refer to: KETI-AIR/ke-t5-base

nielsr/nt5-small-rc1

English

Please refer to: nielsr/nt5-small-rc1

snrspeaks/t5-one-line-summary

English

Please refer to: snrspeaks/t5-one-line-summary

mrm8488/t5-small-finetuned-quora-for-paraphrasing

English

Please refer to: mrm8488/t5-small-finetuned-quora-for-paraphrasing

p-christ/12412fsasf

English

Please refer to: p-christ/12412fsasf

tscholak/3vnuv1vf

English

Please refer to: tscholak/3vnuv1vf

tennessejoyce/titlewave-t5-base

English

Please refer to: tennessejoyce/titlewave-t5-base

vennify/t5-base-grammar-correction

English

Please refer to: vennify/t5-base-grammar-correction

megagonlabs/t5-base-japanese-web

Japanese

Please refer to: megagonlabs/t5-base-japanese-web

sberbank-ai/ruT5-large

English

Please refer to: sberbank-ai/ruT5-large

tscholak/t5.1.1.lm100k.base

English

Please refer to: tscholak/t5.1.1.lm100k.base

deep-learning-analytics/GrammarCorrector

English

Please refer to: deep-learning-analytics/GrammarCorrector

ThomasNLG/t5-qa_squad2neg-en

English

Please refer to: ThomasNLG/t5-qa_squad2neg-en

flexudy/t5-small-wav2vec2-grammar-fixer

English

Please refer to: flexudy/t5-small-wav2vec2-grammar-fixer

KETI-AIR/ke-t5-small

English

Please refer to: KETI-AIR/ke-t5-small

razent/SciFive-large-Pubmed_PMC

English

Please refer to: razent/SciFive-large-Pubmed_PMC

google/t5-large-ssm-nq

English

Please refer to: google/t5-large-ssm-nq

ozcangundes/T5-base-for-BioQA

English

Please refer to: ozcangundes/T5-base-for-BioQA

Rostlab/prot_t5_base_mt_uniref50

English

Please refer to: Rostlab/prot_t5_base_mt_uniref50

sonoisa/t5-base-japanese-question-generation

Japanese

Please refer to: sonoisa/t5-base-japanese-question-generation

Wikidepia/IndoT5-base

English

Please refer to: Wikidepia/IndoT5-base

razent/SciFive-base-Pubmed_PMC

English

Please refer to: razent/SciFive-base-Pubmed_PMC

google/t5-small-ssm-nq

English

Please refer to: google/t5-small-ssm-nq