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Tensorflow text provides a set of efficient, in graph, WordPiece tokenization ops.
We would like to expose these through a keras layer in a way that is easily configurable, supports both tokenization and detokenization, and integrates properly with Keras functional models.
This can serve as an example for future subword tokenization work in this library.
The text was updated successfully, but these errors were encountered:
Tensorflow text provides a set of efficient, in graph, WordPiece tokenization ops.
We would like to expose these through a keras layer in a way that is easily configurable, supports both tokenization and detokenization, and integrates properly with Keras functional models.
This can serve as an example for future subword tokenization work in this library.
The text was updated successfully, but these errors were encountered: