Yes please. this is needed to use keras_nlp with tensor flow port for apple silicon (MacBook Pro m2 max)

Tokenizer gpt2_tokenizer = keras_nlp.models.GPT2Tokenizer( vocabulary=GPT2_vocab_file, merges=GPT2_merges_file, )

78 """Detokenize and convert tensor to nested lists of python strings.""" 79 if tf_text is None: ---> 80 raise ImportError( 81 f"{symbol_name} requires the tensorflow-text package. " 82 "Please install with pip install tensorflow-text." 83 ) ImportError: GPT2Tokenizer requires the tensorflow-text package. Please install with pip install tensorflow-text.

If I want to write an app for apple watch series 9 (WatchOS 10), can my app use neural engine four cores available on SIP 9 through CoreML. or they reserved only or Apple own use like double tap gesture recognization and on-device Siri?