Add AlbertTokenizer and AlbertPreprocessor #627
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mattdangerw
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Jan 5, 2023
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mattdangerw
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This looks good to me!! I only see super minor cosmetic stuff, so I will just fix directly and merge.
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| @keras.utils.register_keras_serializable(package="keras_nlp") | ||
| class AlbertPreprocessor(keras.layers.Layer): | ||
| """A ALBERT preprocessing layer which tokenizes and packs inputs. |
| - Pack the inputs together using a `keras_nlp.layers.MultiSegmentPacker`. | ||
| with the appropriate `"[CLS]"`, `"[SEP]"` and `"<pad>"` tokens. | ||
| - Construct a dictionary with keys `"token_ids"`, `"segment_ids"` and | ||
| `"padding_mask"`, that can be passed directly to a ALBERT model. |
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probably preexisting, but might be better to be specific here.
that can be passed directly to keras_nlp.models.AlbertBackbone
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Resolves #626
Colab for output verification: https://colab.research.google.com/drive/1faIli9dEvlUa0P5GbB4pi0g7ijL4m9zk?usp=sharing