Storing and Sharing Pre-trained Models on GitHub

Question

Pulumi · Accepted Answer

To store and share pre-trained models on GitHub using Pulumi, you'll need to utilize the `pulumi_github` provider. We will create a GitHub repository, which can then be used to host your pre-trained models and share them with others.

Here's how you can do it:

1. **Create a GitHub Repository**: We'll create a new repository on GitHub for storing your pre-trained models.
2. **Initialize Repository**: Optionally, if the repository is newly created, you can automatically initialize it with a README or a .gitignore.
3. **Set Repository Permissions**: We'll configure the repository settings, such as whether it's private or public, to control who can access the pre-trained models.
4. **Add Models to the Repository**: After the repository is set up, you can push your pre-trained models to it. This part is done outside Pulumi through regular Git operations.
5. **Manage Collaborators and Teams**: If you want to share the repository with collaborators or teams, we can manage access using Pulumi.

Below is the Pulumi program in Python that will create the GitHub repository and set it up for your needs:

```python
import pulumi
import pulumi_github as github

# Provide a name for your repository
repository_name = 'pre-trained-models'

# Create a new GitHub repository
repo = github.Repository(repository_name,
    # Set to 'public' for public repositories, or 'private' to keep it private.
    # Replace 'your-description' with a brief description of your repository.
    # Replace 'your-github-username' with your actual GitHub username.
    arguments=github.RepositoryArgs(
        name=repository_name,
        description="Repository for storing pre-trained models",
        visibility="public",
        auto_init=True,  # This will initialize the repository with a README
        gitignore_template="Python",  # Optional: Sets a .gitignore template for Python projects
        license_template="mit",  # Optional: Sets the license template to MIT
    )
)

# Export the repository's clone URL, which can be used to clone the repository locally
pulumi.export('repository_clone_url', repo.clone_url)

# If you want to manage collaborators or teams, you can create additional resources
# such as `github.RepositoryCollaborator` or `github.Team`.

# In the below example, we're adding a collaborator with push access to the repository.
# Replace 'collaborator-username' with the GitHub username of the collaborator.
collaborator = github.RepositoryCollaborator("collaborator",
    repository=repo.name,
    username="collaborator-username",
    permission="push"
)

# You do not need to upload files with Pulumi.
# Once the repository is created, you can push your models to the repository using git:
#   git add <model files>
#   git commit -m "Add pre-trained models"
#   git push origin main
```

This Pulumi program will set up a GitHub repository where you can store your pre-trained models. The repository will be initialized with a README, and you can opt-in for a .gitignore for a Python project and an MIT license. After running this program with `pulumi up`, you will receive a clone URL for the repository, which you can then use to push your pre-trained models using standard Git commands.