U-rara/SEPIT-Data
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How to use U-rara/SEPIT with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="U-rara/SEPIT") # Load model directly
from transformers import PITForConditionGeneration
model = PITForConditionGeneration.from_pretrained("U-rara/SEPIT", dtype="auto")Please refer to https://github.com/U-rara/SEPIT for how to use it.
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},
}
Base model
TinyLlama/TinyLlama-1.1B-Chat-v1.0