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docs: pin some linked ipynb to 2.1.0

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Jirka B 2023-11-14 20:47:56 +01:00
parent 2f1756fc76
commit 695c6f3063
2 changed files with 2 additions and 2 deletions
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docs/source-pytorch/advanced/post_training_quantization.rst
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@ -126,7 +126,7 @@ At last, the quantized model can be saved by:
Hands-on Examples
*****************
Based on the `given example code <https://lightning.ai/docs/pytorch/stable/notebooks/lightning_examples/text-transformers.html>`_, we show how Intel Neural Compressor conduct model quantization on PyTorch Lightning. We first define the basic config of the quantization process.
Based on the `given example code <https://lightning.ai/docs/pytorch/2.1.0/notebooks/lightning_examples/text-transformers.html>`_, we show how Intel Neural Compressor conduct model quantization on PyTorch Lightning. We first define the basic config of the quantization process.
.. code-block:: python

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docs/source-pytorch/starter/style_guide.rst
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@ -219,5 +219,5 @@ This is true for both academic and corporate settings where data cleaning and ad
of iterating through ideas.
- Check out the live examples to get your hands dirty:
- `Introduction to PyTorch Lightning <https://lightning.ai/docs/pytorch/stable/notebooks/lightning_examples/mnist-hello-world.html>`_
- `Introduction to PyTorch Lightning <https://lightning.ai/docs/pytorch/2.1.0/notebooks/lightning_examples/mnist-hello-world.html>`_
- `Introduction to DataModules <https://lightning.ai/docs/pytorch/stable/notebooks/lightning_examples/datamodules.html>`_