Is there a roadmap to integrate/leverage spark with tf.keras?
A novelty in TF 2.3 is the Keras preprocessing layers API. Check out the docs:https://keras.io/api/layers/preprocessing_layers/ …
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These layers will soon have a TFTransform integration (it's similar to Apache Beam) for very large-scale data preprocessing
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Can we integrate
@huggingface tokenizers as the preferred tokenization method in TextVectorization layer? This would be really helpful... Last time I tried it in TF 2.1 any custom tokenization function had to deal with tf string type, so I failed miserably
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