ColossalAI/examples/tutorial/fastfold
github-actions[bot] 4e9b09c222
Automated submodule synchronization (#4217)
Co-authored-by: github-actions <github-actions@github.com>
2023-07-12 17:35:58 +08:00
..
FastFold@eba496808a Automated submodule synchronization (#4217) 2023-07-12 17:35:58 +08:00
README.md [tutorial] polish README (#2568) 2023-02-04 17:49:52 +08:00

README.md

FastFold Inference

Table of contents

📚 Overview

This example lets you to try out the inference of FastFold.

🚀 Quick Start

  1. 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
  1. Download datasets.

It may take ~900GB space to keep datasets.

./scripts/download_all_data.sh data/
  1. 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.