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Update getting_started.md
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docs/getting_started.md

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@@ -126,8 +126,9 @@ Add a command line step **Run Training Pipeline** with the following script:
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```bash
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docker run -v $(System.DefaultWorkingDirectory)/_ci-build/mlops-pipelines/ml_service/pipelines:/pipelines \
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-w=/pipelines -e MODEL_NAME=$MODEL_NAME -e EXPERIMENT_NAME=$EXPERIMENT_NAME \
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mcr.microsoft.com/mlops/python:latest python run_train_pipeline.py
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-w=/pipelines -e MODEL_NAME=$MODEL_NAME -e EXPERIMENT_NAME=$EXPERIMENT_NAME \
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-e TENANT_ID=$TENANT_ID -e SP_APP_ID=$SP_APP_ID -e SP_APP_SECRET=$SP_APP_SECRET \
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mcr.microsoft.com/mlops/python:latest python run_train_pipeline.py
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```
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This release pipeline should be triggered whenever a new **ML training pipeline** is published by the **AzDo builder pipeline**. It can also be triggered manually or configured to run on a scheduled basis. Create a new release to trigger the pipeline manually:

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