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Looks like the following code gives you an agnostic pipeline suitable for both local and cloud

    model = Model(
        image_uri="image uri",
        model_data="uri to model.tar.gz",
        role=role,
        sagemaker_session=sagemaker_session,
    )

    step_create_model = ModelStep(name="Your name", step_args=model.create())

    transformer = Transformer(
        model_name=step_create_model.properties.ModelName,
        instance_type=instance_type,
        instance_count=1,
        sagemaker_session=sagemaker_session,
        env=env,
        output_path=output_path,
        strategy="MultiRecord",
        assemble_with="Line",
        accept="text/csv",
    )

    transform_ar…

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Answer selected by alex-vinnik-sp
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