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Add a model

You can add models from any ML project to the model registry. To add a model, Iterative Studio creates an annotation for it in a dvc.yaml file in your Git repository. You can add a model in any of the following ways:

  1. Log your model during the training process using dvclive by calling live.log_artifact(path, type="model") method.
  2. Edit dvc.yaml directly and add your model to artifacts section.
  3. Use the Iterative Studio interface (watch this tutorial video or read on below).
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  1. Click on Add a model.

  2. Select a connected project to which you want to add the model.

    If your model file or the .dvc file for your model already exists in a Git repo, select that repo. If your model file resides in remote storage (S3, GCS, etc.), select the Git repo where you want to add the model.

  3. Enter the path to dvc.yaml the model will be added to. Adding your model to non-root dvc.yaml can be helpful if you develop this ML model in a specific subfolder or if this repo is a monorepo.

  4. Enter the path of the model file as follows:

    • If the model file is in the Git repository or is in the cloud but is tracked by DVC, enter the relative path of the model (from the repository root).
    • Otherwise, enter the URL to the model file in the cloud. Iterative Studio will ask you for the repository path where the dvc reference to the model should be saved.
  5. Provide labels for your model. For example, if your model is about reviewing sentiment analysis using natural language processing, one of the labels may be nlp or sentiment_analysis.

  6. Optionally, add a brief description for your model.

  7. Enter a Git commit message. Then, select the branch to commit to. You can commit to either the base branch or a new branch. Iterative Studio will commit the changes to the selected branch. If you commit to a new branch, Iterative Studio will also create a Git pull request from the new branch to the base branch.

  8. Now, click on Commit changes.

At this point, the new model appears in the models dashboard.

In your Git repository, you will find that an entry for the new model has been created in the dvc.yaml that was specified. If you had committed to a new branch, a new pull request (or merge request in the case of GitLab) will also have been created to merge the new branch into the base branch.

If you had added a model from a cloud storage, the following will also happen before the commit is created:

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