Doc fixes

keras_nlp/models/backbone.py

@@ -136,7 +136,7 @@ def from_config(cls, config):
 
  @classproperty
  def presets(cls):
- """List builtin presets for a `Task` subclass."""
+ """List built-in presets for a `Task` subclass."""
  presets = list_presets(cls)
  for subclass in list_subclasses(cls):
  presets.update(subclass.presets)

keras_nlp/models/preprocessor.py

@@ -34,7 +34,9 @@ class Preprocessor(PreprocessingLayer):
  `(x, y, sample_weight)` tuples. Where `x` contains token id sequences with
  some
 
- This class can be subclassed to implement
+ 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.
  """
 
  tokenizer_cls = None

keras_nlp/models/task.py

@@ -196,7 +196,7 @@ def from_config(cls, config):
 
  @classproperty
  def presets(cls):
- """List builtin presets for a `Task` subclass."""
+ """List built-in presets for a `Task` subclass."""
  presets = list_presets(cls)
  # We can also load backbone presets.
  if cls.backbone_cls is not None:

keras_nlp/tokenizers/tokenizer.py

@@ -146,7 +146,7 @@ def call(self, inputs, *args, training=None, **kwargs):
 
  @classproperty
  def presets(cls):
- """List builtin presets for a `Task` subclass."""
+ """List built-in presets for a `Task` subclass."""
  presets = list_presets(cls)
  for subclass in list_subclasses(cls):
  presets.update(subclass.presets)

keras_nlp/utils/preset_utils.py

@@ -49,14 +49,19 @@
 
 
 def register_presets(presets, classes):
+ """Register built-in presets for a set of classes.
+
+ Note that this is intended only for models and presets shipped in the
+ library itself.
+ """
  for preset in presets:
  BUILTIN_PRESETS[preset] = presets[preset]
  for cls in classes:
  BUILTIN_PRESETS_FOR_CLASS[cls][preset] = presets[preset]
 
 
 def list_presets(cls):
- """Find all registered builtin presets for a class."""
+ """Find all registered built-in presets for a class."""
  return dict(BUILTIN_PRESETS_FOR_CLASS[cls])