auremi CLI for you. These pages cover setting up a repo, running training, and what each command does.
Getting started
Set up a repo, push a notebook, check it, and start a training run.
Datasets
Add a dataset and link it to a model, in the console or through your agent.
Notebooks
Load a model’s weights, run diagnostics and inference, and draw results in the browser.
Training workers
Where training runs, and how to set up a browser, desktop, or cloud worker.
CLI commands
Every
auremi command and what it does.