HCLBind Implementation

1. Environment Setup

conda env create -f environment.yml
conda activate hclbind-env

Download model weights (https://drive.google.com/drive/folders/1tKDuAs9hobOurKvSOOGlTucNMtDhu9uh?usp=sharing), extract them to outputs/final_ckpt and outputs/pretrain_ckpt.

export ROOTDIR=/PATH-TO/HCLBind/
cd $ROOTDIR

python pretrain.py --config config/pretrain.yaml

python finetune.py --config config/finetune.yaml --ckpt outputs/final_ckpt

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
configs		configs
data		data
.gitignore		.gitignore
README.md		README.md
environment.yml		environment.yml
finetune.py		finetune.py
pretrain.py		pretrain.py