Notebook Templates

Notebooks are a web-based Jupyter IDE with shared persistent storage for long-term development and inter-notebook collaboration, backed by accelerated compute.

Templates are pre-configured notebooks used for machine learning (ML) libraries and repositories. Using templates, you can setup notebook environments that allow you to specify:

• The image used for spinning up your container
• The Git repository you want to upload to your filesystem
• The startup scripts for pulling in your environment variables

Default Template Details

To explore a particular template, expand the Advanced Options section while creating a notebook.

The Workspace URL controls which files load into the notebook file manager, and the Container Name controls which container image is used to build the notebook.

List of Base Templates

Paperspace maintains a number of templates that act as tiles when creating a new notebook. These templates assist in working with pre-loaded notebook files and dependencies.

Here is a list of recommended templates that Paperspace maintains:

Previous Template Versions

Here is a list of previous template versions which you can run by copying the desired template’s values for Container Name and Workspace URL and then pasting these values in the Advanced Options section when creating a notebook.

Note

Templates are frequently added and updated.