update

Author: mrbullwinkle

articles/ai-services/openai/includes/fine-tuning-rest.md

@@ -322,6 +322,29 @@ curl -X PUT "https://management.azure.com/subscriptions/<SUBSCRIPTION>/resourceG
 
 To deploy between the same subscription, but different regions, you would just have subscription and resource groups be identical for both source and destination variables and only the source and destination resource names would need to be unique.
 
+### Cross tenant deployment
+
+The accounts used to generate access tokens with `az account get-access-token --tenant` should have Cognitive Services OpenAI Contributor permissions to the associated Azure OpenAI resources.
+
+
+```bash
+curl -X PUT "https://management.azure.com/subscriptions/<SUBSCRIPTION>/resourceGroups/<RESOURCE_GROUP>/providers/Microsoft.CognitiveServices/accounts/<RESOURCE_NAME>/deployments/<MODEL_DEPLOYMENT_NAME>?api-version=2024-10-01" \
+  -H "Authorization: Bearer <DESTINATION TOKEN>" \
+  -H "x-ms-authorization-auxiliary: Bearer <SOURCE TOKEN>" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "sku": {"name": "standard", "capacity": 1},
+    "properties": {
+        "model": {
+            "format": "OpenAI",
+            "name": "<FINE_TUNED_MODEL>", 
+            "version": "1",
+            "sourceAccount": "/subscriptions/{sourceSubscriptionID}/resourceGroups/{sourceResourceGroupName}/providers/Microsoft.CognitiveServices/accounts/{sourceAccount}" 
+        }
+    }
+}'
+```
+
 ### Deploy a model with Azure CLI
 
 The following example shows how to use the Azure CLI to deploy your customized model. With the Azure CLI, you must specify a name for the deployment of your customized model. For more information about how to use the Azure CLI to deploy customized models, see [`az cognitiveservices account deployment`](/cli/azure/cognitiveservices/account/deployment).