Loading text tutorial: removed +1 from VOCAB_SIZE+1

[vaharoni]

In the Beginners tutorials > Load and preprocess data > Text, under the "Download more datasets using TensorFlow Datasets (TFDS)" section, we do:

vectorize_layer = TextVectorization(
    max_tokens=VOCAB_SIZE,
    output_mode='int',
    output_sequence_length=MAX_SEQUENCE_LENGTH)
    
# ...

model = create_model(vocab_size=VOCAB_SIZE + 1, num_labels=1)

Since the vocabulary of the TextVectorization layer already includes both the padding token and OOV token (i.e. the maximum index possible is 9999 when VOCAB_SIZE is 10000), I believe the +1 should be removed from VOCAB_SIZE + 1. The Embedding layer created by create_model should not see a token with a value greater than 9999.

[github-actions]

Preview

Preview and run these notebook edits with Google Colab:

• site/en/tutorials/load_data/text.ipynb

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Format and style

Use the TensorFlow docs notebook tools to format for consistent source diffs and lint for style:

$ python3 -m pip install -U --user git+https://github.com/tensorflow/docs

$ python3 -m tensorflow_docs.tools.nbfmt notebook.ipynb

$ python3 -m tensorflow_docs.tools.nblint --arg=repo:tensorflow/docs notebook.ipynb

If commits are added to the pull request, synchronize your local branch: git pull origin tutorial_text_fix_3