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QizhiPei/
biot5-base-peer-solubility

Name: biot5-base-peer-solubility
Availability: InStock

QizhiPei/BioT5_finetune_dataset

2310.07276

mit

text-generation-inference

endpoints_compatible

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Example Usage

python

from transformers import AutoTokenizer, T5ForConditionalGeneration

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

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