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Fix typos in dynamic_quantization_bert_tutorial.rst #3019

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Aug 28, 2024
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Fix typos in dynamic_quantization_bert_tutorial.rst #3019

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6 changes: 3 additions & 3 deletions intermediate_source/dynamic_quantization_bert_tutorial.rst
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Expand Up @@ -79,7 +79,7 @@ Mac:

.. code:: shell

yes y | pip uninstall torch tochvision
yes y | pip uninstall torch torchvision
yes y | pip install --pre torch -f https://download.pytorch.org/whl/nightly/cu101/torch_nightly.html


Expand Down Expand Up @@ -206,7 +206,7 @@ in `examples <https://github.com/huggingface/transformers/tree/master/examples#m
--save_steps 100000 \
--output_dir $OUT_DIR

We provide the fined-tuned BERT model for MRPC task `here <https://download.pytorch.org/tutorial/MRPC.zip>`_.
We provide the fine-tuned BERT model for MRPC task `here <https://download.pytorch.org/tutorial/MRPC.zip>`_.
To save time, you can download the model file (~400 MB) directly into your local folder ``$OUT_DIR``.

2.1 Set global configurations
Expand Down Expand Up @@ -273,7 +273,7 @@ We load the tokenizer and fine-tuned BERT sequence classifier model
2.3 Define the tokenize and evaluation function
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

We reuse the tokenize and evaluation function from `Huggingface <https://github.com/huggingface/transformers/blob/master/examples/run_glue.py>`_.
We reuse the tokenize and evaluation function from `HuggingFace <https://github.com/huggingface/transformers/blob/master/examples/run_glue.py>`_.

.. code:: python

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