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---
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license: mit
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---
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license: mit
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datasets:
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- U-rara/SEPIT-Data
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language:
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- en
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base_model:
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- TinyLlama/TinyLlama-1.1B-Chat-v1.0
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- facebook/esm2_t33_650M_UR50D
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pipeline_tag: question-answering
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library_name: transformers
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---
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# Model of Paper "SEPIT: Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding"
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## Usage
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**Please refer to https://github.com/U-rara/SEPIT for how to use it.**
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## Citation
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If our work is helpful to you, please cite our paper:
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```bibtex
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@misc{wu2024structureenhancedproteininstructiontuning,
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title={Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding},
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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},
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year={2024},
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eprint={2410.03553},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2410.03553},
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}
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```
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