Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
Paper • 2204.00300 • Published
How to use Baiming123/DuplexFM_RNA-FM with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Baiming123/DuplexFM_RNA-FM")
model = AutoModel.from_pretrained("Baiming123/DuplexFM_RNA-FM")This repository hosts the exact RNA-FM checkpoint used in the DuplexFM study. The checkpoint used in the reported experiments differs slightly from the version currently available in the public RNA-FM model repository. We therefore provide this snapshot to ensure exact reproducibility and compatibility with the LoRA adapters released with DuplexFM.
For the original model and general usage information, please refer to the official RNA-FM repository.
@article{chen2022interpretable,
title={Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions},
author={Chen, Jiayang and Hu, Zhihang and Sun, Siqi and Tan, Qingxiong and Wang, Yixuan and Yu, Qinze and Zong, Licheng and Hong, Liang and Xiao, Jin and King, Irwin and others},
journal={arXiv preprint arXiv:2204.00300},
year={2022}
}
This snapshot retains the original AGPL-3.0 license. See license.md and
license-faq.md for details.