tf.convert_to_tensor(values), ), default_value=default, )@keras_nlp_export("keras_nlp.tokenizers.BytePairTokenizer") class BytePairTokenizer(tokenizer.Tokenizer): """Bype-pair encoding tokenizer layer.This BPE
We use the same model and architecture as GPT-2, including the modified initialization, pre-normalization, and reversible tokenization described therein we use alternating dense and locally banded sparse attention patterns in the layers of the transformer, similar to the Sparse Transformer ...
return tf.lookup.StaticHashTable( tf.lookup.KeyValueTensorInitializer( tf.convert_to_tensor(keys), tf.convert_to_tensor(values), ), default_value=default, ) @keras_nlp_export("keras_nlp.tokenizers.BytePairTokenizer") class BytePairTokenizer(tokenizer.Tokenizer): """Bype-pair encoding tokenizer...