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minor rephrasing
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src/sagemaker/estimator.py

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@@ -172,13 +172,10 @@ def __init__(
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Must be large enough to store training data if File mode is
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used, which is the default mode.
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When using an ML instance with the EBS-only storage option and
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without instance storage such as `NVMe SSD volumes
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<https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ssd-instance-store.html#nvme-ssd-volumes>`_,
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you must define the size of EBS
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When you use an ML instance with the EBS-only storage option
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such as ``ml.c5`` and ``ml.p2``,
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you must define the size of the EBS
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volume through the ``volume_size`` parameter in the estimator class.
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For example, ML instance families that use EBS volumes include
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``ml.c5`` and ``ml.p2``.
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.. note::
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@@ -2277,13 +2274,10 @@ def __init__(
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Must be large enough to store training data if File mode is
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used, which is the default mode.
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When using an ML instance with the EBS-only storage option and
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without instance storage such as `NVMe SSD volumes
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<https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ssd-instance-store.html#nvme-ssd-volumes>`_,
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you must define the size of EBS
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When you use an ML instance with the EBS-only storage option
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such as ``ml.c5`` and ``ml.p2``,
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you must define the size of the EBS
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volume through the ``volume_size`` parameter in the estimator class.
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For example, ML instance families that use EBS volumes include
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``ml.c5`` and ``ml.p2``.
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.. note::
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