code: @BetaApi(
        "The surface for long-running operations is not stable yet and may change in the future.")
    public final OperationFuture<Empty, OperationMetadata> deployModelAsync(ModelName name) {
  
      DeployModelRequest request =
          DeployModelRequest.newBuilder().setName(name == null ? null : name.toString()).build();
      return deployModelAsync(request);
    }
docs: Deploys a model. If a model is already deployed, deploying it with the same parameters has no
  effect. Deploying with different parametrs (as e.g. changing
  
  <p>[node_number][google.cloud.automl.v1beta1.ImageObjectDetectionModelDeploymentMetadata.node_number]
  ) will update the deployment without pausing the model's availability.
  
  <p>Only applicable for Text Classification, Image Object Detection and Tables; all other
  domains manage deployment automatically.
  
  <p>Returns an empty response in the [response][google.longrunning.Operation.response] field
  when it completes.
  
  <p>Sample code:
  
  <pre><code>
  try (AutoMlClient autoMlClient = AutoMlClient.create()) {
  ModelName name = ModelName.of("[PROJECT]", "[LOCATION]", "[MODEL]");
  autoMlClient.deployModelAsync(name).get();
  }
  </code></pre>
  
  @param name Resource name of the model to deploy.
  @throws com.google.api.gax.rpc.ApiException if the remote call fails