toml config files to configure various aspects of your project such as hardware requirements, scaling parameters and much more.
Using config files makes it easier to keep track of your Cerebrium deployments, share them and use git versioning to show changes over time.
To deploy your model with a specific config file, you can use the cerebrium deploy command with the --config-file flag to specify the path to your config file. This can be any .toml file or a .yaml (deprecated) file. Otherwise cerebrium deploy will use the cerebrium.toml file in your directory. If you would like more information on how to use config files, please see the Using Config Files page.
If you are still on the legacy YAML config file format, you can convert your
config file to a
toml config file by answering yes to the prompt when you
run cerebrium deploy as normal. This will create a cerebrium.toml file in
your project directory which you can then edit as you wish. Additionally, all
the dependencies in your pkglist.txt and conda_pkglist.txt files will be
added to the cerebrium.toml file automaticallycerebrium deploy command in the same directory as your main.py as you would normally.