Load text tutorial: Remove unnecessary +1 from VOCAB_SIZE+1

[vaharoni]

In the Beginners tutorials > Load and preprocess data > Text, there is the following code:

# `vocab_size` is `VOCAB_SIZE + 1` since `0` is used additionally for padding.
int_model = create_model(vocab_size=VOCAB_SIZE + 1, num_labels=4)

I believe that the +1 in VOCAB_SIZE + 1 is unnecessary, as the TextVectorization layer already includes a padding token (as well as an OOV token) when its output_mode is int. Per the layer's documentation:

      output_mode: Optional specification for the output of the layer. Values
        can be `"int"`, `"multi_hot"`, `"count"` or `"tf_idf"`, configuring the
        layer as follows:
          - `"int"`: Outputs integer indices, one integer index per split string
            token. When `output_mode == "int"`, 0 is reserved for masked
            locations; this reduces the vocab size to
            `max_tokens - 2` instead of `max_tokens - 1`.

[github-actions]

Preview

Preview and run these notebook edits with Google Colab:

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

Rendered notebook diffs available on ReviewNB.com.

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