Merge pull request #253069 from msakande/adding-missing-code-snippets

adding code until deleted file is restored

Author: prmerger-automator[bot]

articles/machine-learning/how-to-deploy-custom-container.md

@@ -116,8 +116,44 @@ You can configure your cloud deployment using YAML. Take a look at the sample YA
 
 __tfserving-endpoint.yml__
 
+```yml
+$schema: https://azuremlsdk2.blob.core.windows.net/latest/managedOnlineEndpoint.schema.json
+name: tfserving-endpoint
+auth_mode: aml_token
+```
+
 __tfserving-deployment.yml__
 
+```yml
+$schema: https://azuremlschemas.azureedge.net/latest/managedOnlineDeployment.schema.json
+name: tfserving-deployment
+endpoint_name: tfserving-endpoint
+model:
+  name: tfserving-mounted
+  version: {{MODEL_VERSION}}
+  path: ./half_plus_two
+environment_variables:
+  MODEL_BASE_PATH: /var/azureml-app/azureml-models/tfserving-mounted/{{MODEL_VERSION}}
+  MODEL_NAME: half_plus_two
+environment:
+  #name: tfserving
+  #version: 1
+  image: docker.io/tensorflow/serving:latest
+  inference_config:
+    liveness_route:
+      port: 8501
+      path: /v1/models/half_plus_two
+    readiness_route:
+      port: 8501
+      path: /v1/models/half_plus_two
+    scoring_route:
+      port: 8501
+      path: /v1/models/half_plus_two:predict
+instance_type: Standard_DS3_v2
+instance_count: 1
+```
+
+
 # [Python SDK](#tab/python)
 
 ### Connect to Azure Machine Learning workspace