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Nov 1, 2023
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Change links to the newest examples #2635

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8 changes: 4 additions & 4 deletions intermediate_source/FSDP_adavnced_tutorial.rst
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Expand Up @@ -74,8 +74,8 @@ summarization using WikiHow dataset. The main focus of this tutorial is to
highlight different available features in FSDP that are helpful for training
large scale model above 3B parameters. Also, we cover specific features for
Transformer based models. The code for this tutorial is available in `Pytorch
Examples
<https://github.com/HamidShojanazeri/examples/tree/FSDP_example/distributed/FSDP/>`__.
examples
<https://github.com/pytorch/examples/tree/main/distributed/FSDP/>`__.


*Setup*
Expand All @@ -97,13 +97,13 @@ Please create a `data` folder, download the WikiHow dataset from `wikihowAll.csv
`wikihowSep.cs <https://ucsb.app.box.com/s/7yq601ijl1lzvlfu4rjdbbxforzd2oag>`__,
and place them in the `data` folder. We will use the wikihow dataset from
`summarization_dataset
<https://github.com/HamidShojanazeri/examples/blob/FSDP_example/distributed/FSDP/summarization_dataset.py>`__.
<https://github.com/pytorch/examples/blob/main/distributed/FSDP/summarization_dataset.py>`__.

Next, we add the following code snippets to a Python script “T5_training.py”.

.. note::
The full source code for this tutorial is available in `PyTorch examples
<https://github.com/HamidShojanazeri/examples/tree/FSDP_example/distributed/FSDP>`__.
<https://github.com/pytorch/examples/tree/main/distributed/FSDP/>`__.

1.3 Import necessary packages:

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