You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-deploy-models-llama.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -87,7 +87,7 @@ The following models are available:
87
87
# [Meta Llama 3](#tab/llama-three)
88
88
89
89
- An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
90
-
- An Azure Machine Learning workspace and a compute instance. If you don't have these, use the steps in the [Quickstart: Create workspace resources](quickstart-create-resources.md) article to create them. The serverless API model deployment offering for Meta Llama 3.1 and Llama 3 is only available with hubs created in these regions:
90
+
- An Azure Machine Learning workspace and a compute instance. If you don't have these, use the steps in the [Quickstart: Create workspace resources](quickstart-create-resources.md) article to create them. The serverless API model deployment offering for Meta Llama 3.1 and Llama 3 is only available with workspaces created in these regions:
0 commit comments