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.
code: def __init__(self, feature_extractor, tokenizer):
      super().__init__(feature_extractor, tokenizer)
      self.current_processor = self.feature_extractor
      self._in_target_context_manager = False
  
file_path: transformers/src/transformers/models/whisper/processing_whisper.py
imports: from ...processing_utils import ProcessorMixin
label_desc: Use image node_id 1 to create a new WhisperProcessor object from inherited base classes: ProcessorMixin with example: obj = WhisperProcessor(feature_extractor, tokenizer)