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Merge pull request #234524 from msakande/fix-yaml-extensions
Fixing yaml file extensions in batch deployment articles
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articles/machine-learning/how-to-batch-scoring-script.md

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@@ -122,7 +122,7 @@ Any library that your scoring script requires to run needs to be indicated in th
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__mnist/environment/conda.yml__
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/environment/conda.yml":::
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/environment/conda.yaml":::
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Refer to [Create a batch deployment](how-to-use-batch-endpoint.md#create-a-batch-deployment) for more details about how to indicate the environment for your model.
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articles/machine-learning/how-to-nlp-processing-batch.md

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@@ -206,7 +206,7 @@ Let's create the deployment that will host the model:
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__environment/conda.yml__
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/huggingface-text-summarization/environment/torch200-conda.yml" :::
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/huggingface-text-summarization/environment/torch200-conda.yaml" :::
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1. We can use the conda file mentioned before as follows:
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articles/machine-learning/how-to-use-batch-endpoint.md

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@@ -269,7 +269,7 @@ A deployment is a set of resources required for hosting the model that does the
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__deployment-torch/environment/conda.yml__
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/environment/conda.yml":::
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/environment/conda.yaml":::
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> [!IMPORTANT]
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> The packages `azureml-core` and `azureml-dataset-runtime[fuse]` are required by batch deployments and should be included in the environment dependencies.
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__deployment-keras/environment/conda.yml__
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-keras/environment/conda.yml":::
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:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-keras/environment/conda.yaml":::
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1. Create a scoring script for the model:
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