Listing Model Deployments

• Console
• CLI
• API

• 1. Use the Console to sign in to a tenancy with the necessary policies.
  2. Open the navigation menu and select Analytics & AI. Under Machine Learning, select Data Science.
  3. Select the compartment that contains the project with the model deployments.

     All projects in the compartment are listed.

  4. Select the name of the project.

     The project details page opens and lists the notebook sessions.

  5. Under Resources, click Model deployments.

     A tabular list of model deployments in the project is displayed.

  6. (Optional) Select the name of a model deployment to see its details.

     • Description if one was specified.

     • Who created the model deployment.

     • When the deployment was created.

     • Model deployment OCID.

     • Model that was selected.

     • Compute configuration including the VM shape name, the number of instances, and the load balancer bandwidth.

     You can use the following resources with model deployments

     Logs:

     Display a table that shows predict and access log configuration.

     Work Requests:

     Provides the status of each operation applied to the model deployment.

     Model Invocation:

     Invokes the predict endpoint of the model deployment to see the model deployment URI and with code snippets for the OCI CLI, Python SDK, and Java SDK.

• Use the oci data-science model-deployment list command and required parameters to list the model deployments in a project:

  Command

  CopyTry It

  oci data-science model-deployment list --compartment-id <compartment-id>... [OPTIONS]

  For a complete list of flags and variable options for CLI commands, see the CLI Command Reference.

• Use the ListModelDeployments operation to list the model deployments in a project.