Fix Text classification with TensorFlow Hub

[dnoliver]

• install tf_keras
• use tf_keras model and layers

Run into a problem while running the cell:

Only instances of keras.Layer can be added to a Sequential model. Received: <tensorflow_hub.keras_layer.KerasLayer

Applied the fix described in tensorflow/tensorflow#63849.
After the change, the notebook works end to end.
But I think this actually downgrades the tf_keras support from 3 to 2, as noted in tensorflow/tensorflow#63849 (comment).

If the notebook is supposed to work as is, without this fix applied, then this PR shows how to apply the workaround to the notebook until the main issue is figured out :)

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[github-actions]

Preview

Preview and run these notebook edits with Google Colab:

• site/en/tutorials/keras/text_classification_with_hub.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 tf-hub-fix

[8bitmp3]

Thank you @dnoliver . Please review the CLA .

@MarkDaoust @markmcd keras. instead of tf_keras. or both in layer names?

[github-actions]

Marking this pull request as stale since it has been open for 14 days with no activity. This PR will be closed if no further activity occurs.

[github-actions]

This pull request was closed because it has been inactive for 28 days. Please open a new pull request if you need further assistance. Thanks!