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1.1 KiB
FastFold Inference
Table of contents
📚 Overview
This example lets you to try out the inference of FastFold.
🚀 Quick Start
- Install FastFold
We highly recommend you to install FastFold with conda.
git clone https://github.com/hpcaitech/FastFold
cd FastFold
conda env create --name=fastfold -f environment.yml
conda activate fastfold
python setup.py install
- Download datasets.
It may take ~900GB space to keep datasets.
./scripts/download_all_data.sh data/
- Run the inference scripts.
bash inference.sh
You can find predictions under the outputs dir.
🔍 Dive into FastFold
There are another features of FastFold, such as:
- more excellent kernel based on triton
- much faster data processing based on ray
- training supported
More detailed information can be seen here.