indents

Author: s-polly

articles/machine-learning/how-to-use-serverless-compute.md

@@ -138,33 +138,33 @@ When you [view your usage and quota in the Azure portal](how-to-manage-quotas.md
 
 # [Python SDK](#tab/python)
 
-    ```python
-    from azure.ai.ml import MLClient
-    from azure.identity import DefaultAzureCredential
-    
-    subscription_id = "<your-subscription-id>"
-    resource_group = "<your-resource-group>"
-    workspace = "<your-workspace-name>"
-    
-    ml_client = MLClient(
-        DefaultAzureCredential(),
-        subscription_id,
-        resource_group,
-        workspace
-    )
-    
-    # Get workspace details
-    ws = ml_client.workspaces.get(name=workspace)
-    print(ws)
-    
-    ```
+```python
+from azure.ai.ml import MLClient
+from azure.identity import DefaultAzureCredential
+
+subscription_id = "<your-subscription-id>"
+resource_group = "<your-resource-group>"
+workspace = "<your-workspace-name>"
+
+ml_client = MLClient(
+    DefaultAzureCredential(),
+    subscription_id,
+    resource_group,
+    workspace
+)
+
+# Get workspace details
+ws = ml_client.workspaces.get(name=workspace)
+print(ws)
+
+```
 
 #  [Azure CLI](#tab/cli)
 
-    ```bash
-    
-        az ml workspace show --name <wsname>  --resource-group <rgname>
-    ```
+  ```bash
+  
+      az ml workspace show --name <wsname>  --resource-group <rgname>
+  ```
   ---
     Look for the user assigned identities in the output. If it's missing, create a new workspace with a user assigned managed identity by following the instructions here: Set up service authentication - Azure Machine Learning | Microsoft Learn
 
@@ -173,41 +173,41 @@ When you [view your usage and quota in the Azure portal](how-to-manage-quotas.md
 
     # [Python SDK](#tab/python)
 
-    ```python
-        from azure.ai.ml import command
-        from azure.ai.ml import MLClient     # Handle to the workspace
-        from azure.identity import DefaultAzureCredential    # Authentication package
-        from azure.ai.ml.entities import ResourceConfiguration
-        from azure.ai.ml.entities import ManagedIdentityConfiguration
-        
-        credential = DefaultAzureCredential()
-        # Get a handle to the workspace. You can find the info on the workspace tab on ml.azure.com
-        ml_client = MLClient(
-            credential=credential,
-            subscription_id="<Azure subscription id>", 
-            resource_group_name="<Azure resource group>",
-            workspace_name="<Azure Machine Learning Workspace>",
-        )
-        job = command(
-            command="echo 'hello world'",
-            environment="azureml://registries/azureml/environments/sklearn-1.5/labels/latest",
-                identity= ManagedIdentityConfiguration(client_id="<workspace-uami-client-id>"),
-        )
-        # submit the command job
-        ml_client.create_or_update(job)
-
-    ```
+  ```python
+      from azure.ai.ml import command
+      from azure.ai.ml import MLClient     # Handle to the workspace
+      from azure.identity import DefaultAzureCredential    # Authentication package
+      from azure.ai.ml.entities import ResourceConfiguration
+      from azure.ai.ml.entities import ManagedIdentityConfiguration
+      
+      credential = DefaultAzureCredential()
+      # Get a handle to the workspace. You can find the info on the workspace tab on ml.azure.com
+      ml_client = MLClient(
+          credential=credential,
+          subscription_id="<Azure subscription id>", 
+          resource_group_name="<Azure resource group>",
+          workspace_name="<Azure Machine Learning Workspace>",
+      )
+      job = command(
+          command="echo 'hello world'",
+          environment="azureml://registries/azureml/environments/sklearn-1.5/labels/latest",
+              identity= ManagedIdentityConfiguration(client_id="<workspace-uami-client-id>"),
+      )
+      # submit the command job
+      ml_client.create_or_update(job)
+
+  ```
 
     # [Azure CLI](#tab/cli)
 
-    ```bash
-    $schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
-    command: echo "hello world"
-    environment:
-      image: library/python:latest
-    identity:
-      type: managed
-    ```
+  ```bash
+  $schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
+  command: echo "hello world"
+  environment:
+    image: library/python:latest
+  identity:
+    type: managed
+  ```
 
   ---