Repository: huggingface/transformers
Pull request: Drop as_target_processor from the _call_ and pad methods

# What does this PR do?

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Fixes #38609


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- [x] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). Yes
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- text models: @ArthurZucker
- vision models: @amyeroberts, @qubvel
- speech models: @eustlb
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- flax: @gante and @Rocketknight1
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Changed files:
filename: src/transformers/models/wav2vec2/processing_wav2vec2.py
patch: @@ -81,10 +81,8 @@ def __call__(
         **kwargs: Unpack[Wav2Vec2ProcessorKwargs],
     ):
         """
-        When used in normal mode, this method forwards all its arguments to Wav2Vec2FeatureExtractor's
-        [`~Wav2Vec2FeatureExtractor.__call__`] and returns its output. If used in the context
-        [`~Wav2Vec2Processor.as_target_processor`] this method forwards all its arguments to PreTrainedTokenizer's
-        [`~PreTrainedTokenizer.__call__`]. Please refer to the docstring of the above two methods for more information.
+        This method forwards all its arguments to Wav2Vec2FeatureExtractor's
+        [`~Wav2Vec2FeatureExtractor.__call__`] and returns its output.
         """
 
         if "raw_speech" in kwargs:
@@ -123,10 +121,8 @@ def __call__(
 
     def pad(self, *args, **kwargs):
         """
-        When used in normal mode, this method forwards all its arguments to Wav2Vec2FeatureExtractor's
-        [`~Wav2Vec2FeatureExtractor.pad`] and returns its output. If used in the context
-        [`~Wav2Vec2Processor.as_target_processor`] this method forwards all its arguments to PreTrainedTokenizer's
-        [`~PreTrainedTokenizer.pad`]. Please refer to the docstring of the above two methods for more information.
+        This method forwards all its arguments to Wav2Vec2FeatureExtractor's
+        [`~Wav2Vec2FeatureExtractor.pad`] and returns its output.
         """
         # For backward compatibility
         if self._in_target_context_manager: