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ColossalAI/examples/tutorial/fastfold
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README.md
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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.