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Download model/Protenix-pxd/docs/docker_installation.md from OneScience-Group/PXDesign: direct link, hf CLI and curl.
- Browser
- Download file 1.23 kB
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https://huggingface.co/OneScience-Group/PXDesign/resolve/main/model/Protenix-pxd/docs/docker_installation.md
- Command line
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hf download hf://OneScience-Group/PXDesign/model/Protenix-pxd/docs/docker_installation.md
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curl -L -o docker_installation.md https://huggingface.co/OneScience-Group/PXDesign/resolve/main/model/Protenix-pxd/docs/docker_installation.md
1.23 kB
Run with Docker
Install Docker (with GPU Support)
Ensure that Docker is installed and configured with GPU support. Follow these steps:
- Install Docker if not already installed.
- Install the NVIDIA Container Toolkit to enable GPU support.
- Verify the setup with:
docker run --rm --gpus all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi
Pull the Docker image, which was built based on this Dockerfile
docker pull ai4s-cn-beijing.cr.volces.com/infra/protenix:v0.0.3Clone this repository and
cdinto itgit clone https://github.com/bytedance/protenix.git cd ./protenix pip install -e .Run Docker with an interactive shell
docker run --gpus all -it -v $(pwd):/workspace -v /dev/shm:/dev/shm ai4s-cn-beijing.cr.volces.com/infra/protenix:v0.0.3 /bin/bash
After running above commands, you’ll be inside the container’s environment and can execute commands as you would on a normal Linux terminal.