code: @BetaApi(
        "The surface for long-running operations is not stable yet and may change in the future.")
    public final OperationFuture<Empty, OperationMetadata> exportModelAsync(
        ExportModelRequest request) {
      return exportModelOperationCallable().futureCall(request);
    }
docs: Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A
  model is considered export-able if and only if it has an export format defined for it in
  
  <p>[ModelExportOutputConfig][google.cloud.automl.v1beta1.ModelExportOutputConfig].
  
  <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]");
  ModelExportOutputConfig outputConfig = ModelExportOutputConfig.newBuilder().build();
  ExportModelRequest request = ExportModelRequest.newBuilder()
  .setName(name.toString())
  .setOutputConfig(outputConfig)
  .build();
  autoMlClient.exportModelAsync(request).get();
  }
  </code></pre>
  
  @param request The request object containing all of the parameters for the API call.
  @throws com.google.api.gax.rpc.ApiException if the remote call fails