1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_id = "DuanYi/R3LM_K562"
4
5tokenizer = AutoTokenizer.from_pretrained(model_id)
6model = AutoModelForCausalLM.from_pretrained(
7 model_id,
8 torch_dtype="auto",
9 device_map="auto",
10)
1@inproceedings{Duan2026Biological,
2 author = {Yi Duan and Zhao Yang and Jiwei Zhu and Ying Ba and Chuan Cao and Bing Su},
3 title = {Biological Reasoning-Informed Regression for Interpretable Regulatory {DNA} Activity Prediction},
4 booktitle = {Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD 2026)},
5 year = {2026},
6 doi = {10.1145/3770855.3818836},
7}
