Here is the step by step guide to run simple MLCube cubes.
Create a python environment¶
# Create Python Virtual Environment virtualenv -p python3 ./env && source ./env/bin/activate
Install MLCube Runners¶
# Install MLCube Docker runner pip install mlcube-docker # Optionally, setup host environment by providing the correct `http_proxy` and `https_proxy` environmental variables. # export http_proxy=... # export https_proxy=.. # Optionally, install other runners # pip install mlcube-singularity # pip install mlcube-ssh # pip install mlcube-k8s
Explore with examples¶
A great way to learn about MLCube is try out the example MLCube cubes located here.
git clone https://github.com/mlcommons/mlcube_examples.git && cd ./mlcube_examples