metadata
license: mit
datasets:
- U-rara/SEPIT-Data
language:
- en
base_model:
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
- facebook/esm2_t33_650M_UR50D
pipeline_tag: question-answering
library_name: transformers
Model of Paper "SEPIT: Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding"
Usage
Please refer to https://github.com/U-rara/SEPIT for how to use it.
Citation
If our work is helpful to you, please cite our paper:
@misc{wu2024structureenhancedproteininstructiontuning,
title={Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding},
author={Wei Wu and Chao Wang and Liyi Chen and Mingze Yin and Yiheng Zhu and Kun Fu and Jieping Ye and Hui Xiong and Zheng Wang},
year={2024},
eprint={2410.03553},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2410.03553},
}