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@@ -8,5 +8,16 @@ For more information please check out this article: https://docs.microsoft.com/e
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## Deploy to the cloud
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You can deploy to the cloud using the Azure ML CLI or the Azure ML SDK.
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- CLI example: [Azure Pipelines model deployment example](./azure-pipelines-model-deploy.yml)
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### Deploy with the CLI
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```
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az extension add -n azure-cli-ml
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az ml folder attach -w myworkspace -g myresourcegroup
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az ml model register -n sklearn_regression_model.pkl -p sklearn_regression_model.pkl -t model.json
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az ml model deploy -n acicicd -f model.json --ic inferenceConfig.yml --dc deploymentConfig.yml --overwrite
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```
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Here is an [Azure DevOps Pipelines model deployment example](./azure-pipelines-model-deploy.yml)
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### Deploy from a notebook
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- Notebook example: [model-register-and-deploy](./model-register-and-deploy.ipynb).
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