Getting Details for a Model Deployment

Get details for a Data Science model deployment in a project.

    1. On the Projects list page, select the project that contains the model deployments that you want to work with. If you need help finding the list page or the project, see Listing Projects.
    2. On the project details page, select Model deployments.
      All model deployments in the selected project are displayed in a table.
    3. Select the model deployment.

    The details page for the model deployment opens and displays the following information about the model deployment. Access the various resources associated with the model deployment by selecting their links or tabs.

    • 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: View predict and access log configuration.
    • Work requests: View status of each operation applied to the model deployment.
    • Model invocation: Invokes the inference 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 get command and required parameters to get details for a model deployment:

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

    For a complete list of parameters and values for CLI commands, see the CLI Command Reference.

  • Use the GetModelDeployment operation to get details for a model deployment.