moving note

Author: Larry Franks

articles/machine-learning/how-to-deploy-existing-model.md

@@ -64,14 +64,14 @@ For more information, see the [Model.register()](https://docs.microsoft.com/pyth
 az ml model register -p ./models -n sentiment -w myworkspace -g myresourcegroup
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+> [!TIP]
+> You can also set add `tags` and `properties` dictionary objects to the registered model. These values can be used later to help identify a specific model. For example, the framework used, training parameters, etc.
+
 For more information, see the [az ml model register](https://docs.microsoft.com/cli/azure/ext/azure-cli-ml/ml/model?view=azure-cli-latest#ext-azure-cli-ml-az-ml-model-register) reference.
 
 
 For more information on model registration in general, see [Manage, deploy, and monitor machine learning models](concept-model-management-and-deployment.md).
 
-> [!TIP]
-> You can also set add `tags` and `properties` dictionary objects to the registered model. These values can be used later to help identify a specific model. For example, the framework used, training parameters, etc.
-
 ## Define inference configuration
 
 The inference configuration defines the environment used to run the deployed model. The inference configuration references the following entities, which are used to run the model when it's deployed: