Utilize to_numpy=True in quantize if available
#1725
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This will reduce memory requirements for quantization due to the large size of the embedding layer in general.
Note that I have made this PR compatible with Keras from 3.4.0 to the latest.
BTW, once new version of Keras is released, I can propose a refactor of
quantizeinReversibleEmbedding, also considering compatibility. IMO, it is quite ugly now :(