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Merge pull request #95042 from jorgeper/patch-1
Update tutorial-pipeline-python-sdk.md
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articles/machine-learning/tutorial-pipeline-python-sdk.md

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@@ -207,6 +207,10 @@ Create the directory for this component:
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[!Notebook-python[] (~/azureml-examples-main/tutorials/e2e-ds-experience/e2e-ml-workflow.ipynb?name=train_src_dir)]
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Create the training script in the directory:
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[!Notebook-python[] (~/azureml-examples-main/tutorials/e2e-ds-experience/e2e-ml-workflow.ipynb?name=train.py)]
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As you can see in this training script, once the model is trained, the model file is saved and registered to the workspace. Now you can use the registered model in inferencing endpoints.
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