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Remove doc string as per comments
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src/stepfunctions/steps/sagemaker.py

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@@ -198,7 +198,7 @@ def __init__(self, state_id, model, model_name=None, instance_type=None, tags=No
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state_id (str): State name whose length **must be** less than or equal to 128 unicode characters. State names **must be** unique within the scope of the whole state machine.
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model (sagemaker.model.Model): The SageMaker model to use in the ModelStep. If :py:class:`TrainingStep` was used to train the model and saving the model is the next step in the workflow, the output of :py:func:`TrainingStep.get_expected_model()` can be passed here.
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model_name (str or Placeholder, optional): Specify a model name, this is required for creating the model. We recommend to use :py:class:`~stepfunctions.inputs.ExecutionInput` placeholder collection to pass the value dynamically in each execution.
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instance_type (str, optional): The EC2 instance type to deploy this Model to. For example, 'ml.p2.xlarge'. This parameter is typically required when the estimator used is not an `Amazon built-in algorithm <https://docs.aws.amazon.com/sagemaker/latest/dg/algos.html>`_.
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instance_type (str, optional): The EC2 instance type to deploy this Model to. For example, 'ml.p2.xlarge'.
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tags (list[dict], optional): `List to tags <https://docs.aws.amazon.com/sagemaker/latest/dg/API_Tag.html>`_ to associate with the resource.
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"""
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if isinstance(model, FrameworkModel):

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