Edit model card

Example Usage

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

Downloads last month
52
Inference Examples
Inference API (serverless) is not available, repository is disabled.

Dataset used to train QizhiPei/biot5-base-peer-solubility