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Update how-to-package-models.md
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articles/machine-learning/how-to-package-models.md

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@@ -271,7 +271,7 @@ If you're using an MLflow model, model dependencies are indicated inside the mod
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## Package a model that is hosted in a registry
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Model packages provide a convenient way to collect dependencies before deployment. However, when models are hosted in registries, the deployment target is usually another workspace. When creating packages in this setup, use the `target_environment_name` property to specify the full location where you want the model package to be created, instead of just its name.
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Model packages provide a convenient way to collect dependencies before deployment. However, when models are hosted in registries, the deployment target is usually another workspace. When creating packages in this setup, use the `target_environment` property to specify the full location where you want the model package to be created, instead of just its name.
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The following code creates a package of the `t5-base` model from a registry:
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