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beginner_source/introyt/introyt.py

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- **In the cloud**: This is the easiest way to get started! Each section has a Colab link at the top, which opens a notebook with the code in a fully-hosted environment. Pro tip: Use Colab with a GPU runtime to speed up operations *Runtime > Change runtime type > GPU*
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- **Locally**: This option requires you to setup PyTorch and torchvision first on your local machine (`installation instructions <https://pytorch.org/get-started/locally/>`_). Download the notebook or copy the code into your favorite IDE.
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.. include:: /beginner_source/introyt/tocyt.txt
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.. toctree::
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:maxdepth: 2
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:hidden:

index.rst

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:header: Introduction to PyTorch on YouTube
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:card_description: An introduction to building a complete ML workflow with PyTorch. Follows the PyTorch Beginner Series on YouTube.
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:image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
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:link: beginner/introyt.html
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:link: beginner/introyt/introyt.html
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:tags: Getting-Started
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.. customcarditem::

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