To create a Model using the CLI, run an Experiment, such as by using one of the sample Experiment commands, and set both
--modelType according to those instructions. This will place your Model in your Project's Models list.
You can view your Models in your Models list in the GUI or in the CLI, as seen below.
You can view your Models in your Model Repository in the GUI by clicking Models in the menu.
As you can see, the GUI view shows your Model ID, when the model was created, the S3 bucket location of your model, your metrics summary data, the Experiment ID, the model type, and whether it is currently deployed on Paperspace.
You can click "Deploy Model" to Create a Deployment with your Model. And you can click "Open Detail" to see a more detailed view of the Model's performance metrics. This will also show a list of all of the checkpoint files (artifacts) generated by the Experiment, as well as the final Model at hand, and you can download any of those files.
Alternately, you can view your Models (currently with less detailed info) via the CLI by running
gradient models list.
The following parameters can be used with the
Filter models list by Experiment ID
Filter models list by Project ID
list is currently the only
models subcommand in the Gradient CLI. More coming soon.