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Correct typo in SST-2 tutorial #1865

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Aug 1, 2022
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Correct typo in SST-2 tutorial #1865

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2 changes: 1 addition & 1 deletion examples/tutorials/sst2_classification_non_distributed.py
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Expand Up @@ -40,7 +40,7 @@
# 2. Convert tokens into (integer) IDs
# 3. Add any special tokens IDs
#
# XLM-R uses sentencepiece model for text tokenization. Below, we use pre-trained sentencepiepce
# XLM-R uses sentencepiece model for text tokenization. Below, we use pre-trained sentencepiece
# model along with corresponding vocabulary to build text pre-processing pipeline using torchtext's transforms.
# The transforms are pipelined using :py:func:`torchtext.transforms.Sequential` which is similar to :py:func:`torch.nn.Sequential`
# but is torchscriptable. Note that the transforms support both batched and non-batched text inputs i.e, one
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