Question Answering
Transformers
Safetensors
English
pit
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # Model of Paper "SEPIT: Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding"
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+
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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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+
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+ ## Citation
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+
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+ If our work is helpful to you, please cite our paper:
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+
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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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+ ```