QizhiPei/biot5-base

Model

Example Usage

11

10 commits

2 linked in READMEs

updated Feb 20, 2025

See the code

README

Example Usage

from transformers import AutoTokenizer, T5ForConditionalGeneration

tokenizer = AutoTokenizer.from_pretrained("QizhiPei/biot5-base", model_max_length=512)
model = T5ForConditionalGeneration.from_pretrained('QizhiPei/biot5-base')

References

For more information, please refer to our paper and GitHub repository.

Paper: BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations

GitHub: BioT5

Authors: Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, and Rui Yan

biology
chemistry
endpoints_compatible
pytorch
safetensors
t5
text2text-generation
text-generation-inference
transformers

Contributors

QizhiPei

8 commits

osanseviero

1 commits

SFconvertbot

1 commits

QizhiPei/biot5-base

Model

Example Usage

11

10 commits

2 linked in READMEs

updated Feb 20, 2025

See the code

README

Example Usage

from transformers import AutoTokenizer, T5ForConditionalGeneration

tokenizer = AutoTokenizer.from_pretrained("QizhiPei/biot5-base", model_max_length=512)
model = T5ForConditionalGeneration.from_pretrained('QizhiPei/biot5-base')

References

For more information, please refer to our paper and GitHub repository.

Paper: BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations

GitHub: BioT5

Authors: Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, and Rui Yan

biology
chemistry
endpoints_compatible
pytorch
safetensors
t5
text2text-generation
text-generation-inference
transformers

Contributors

QizhiPei

8 commits

osanseviero

1 commits

SFconvertbot

1 commits