预处理器

[source]

Preprocessor class

keras_nlp.models.Preprocessor()

Base class for preprocessing layers.

A Preprocessor layer wraps a keras_nlp.tokenizer.Tokenizer to provide a complete preprocessing setup for a given task. For example a masked language modeling preprocessor will take in raw input strings, and output (x, y, sample_weight) tuples. Where x contains token id sequences with some

This class can be subclassed similar to any keras.layers.Layer, by defining build(), call() and get_config() methods. All subclasses should set the tokenizer property on construction.

[source]

from_preset method

Preprocessor.from_preset(preset, **kwargs)

Instantiate a keras_nlp.models.Preprocessor from a model preset.

A preset is a directory of configs, weights and other file assets used to save and load a pre-trained model. The preset can be passed as a one of:

1. a built in preset identifier like 'bert_base_en'
2. a Kaggle Models handle like 'kaggle://user/bert/keras/bert_base_en'
3. a Hugging Face handle like 'hf://user/bert_base_en'
4. a path to a local preset directory like './bert_base_en'

For any Preprocessor subclass, you can run cls.presets.keys() to list all built-in presets available on the class.

As there are usually multiple preprocessing classes for a given model, this method should be called on a specific subclass like keras_nlp.models.BertPreprocessor.from_preset().

Arguments

• preset: string. A built in preset identifier, a Kaggle Models handle, a Hugging Face handle, or a path to a local directory.

Examples

# Load a preprocessor for Gemma generation.
preprocessor = keras_nlp.models.GemmaCausalLMPreprocessor.from_preset(
    "gemma_2b_en",
)

# Load a preprocessor for Bert classification.
preprocessor = keras_nlp.models.BertPreprocessor.from_preset(
    "bert_base_en",
)

[source]

save_to_preset method

Preprocessor.save_to_preset(preset_dir)

Save preprocessor to a preset directory.

Arguments

• preset_dir: The path to the local model preset directory.

tokenizer property

keras_nlp.models.Preprocessor.tokenizer

The tokenizer used to tokenize strings.