class_docstr: Constructs a Whisper processor which wraps a Whisper feature extractor and a Whisper tokenizer into a single
  processor.
  
  [`WhisperProcessor`] offers all the functionalities of [`WhisperFeatureExtractor`] and [`WhisperTokenizer`]. See
  the [`~WhisperProcessor.__call__`] and [`~WhisperProcessor.decode`] for more information.
  
  Args:
      feature_extractor (`WhisperFeatureExtractor`):
          An instance of [`WhisperFeatureExtractor`]. The feature extractor is a required input.
      tokenizer (`WhisperTokenizer`):
          An instance of [`WhisperTokenizer`]. The tokenizer is a required input.
docstr: This method forwards all its arguments to WhisperTokenizer's [`~PreTrainedTokenizer.decode`]. Please refer to
  the docstring of this method for more information.
docstr_tok: ["This","method","forwards","all","its","arguments","to","WhisperTokenizer","'s","[","`","~PreTrainedTokenizer.decode","`","]",".","Please","refer","to","the","docstring","of","this","method","for","more","information","."]
code: def decode(self, *args, **kwargs):
      """
      This method forwards all its arguments to WhisperTokenizer's [`~PreTrainedTokenizer.decode`]. Please refer to
      the docstring of this method for more information.
      """
      return self.tokenizer.decode(*args, **kwargs)
  
imports: from ...processing_utils import ProcessorMixin
label_desc: Use image node_id 5 for calling the WhisperProcessor obj's underlying member method code with example usage: obj.decode() and returns: self