Making large AI models cheaper, faster and more accessible
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
github-actions[bot] d544ed4345
[bot] Automated submodule synchronization (#3596)
2 years ago
..
FastFold@0568130465 [bot] Automated submodule synchronization (#3596) 2 years ago
README.md [tutorial] polish README (#2568) 2 years ago

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.