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 get_decoder_prompt_ids(
      self, task=None, language=None, no_timestamps=True
  ):
      return self.tokenizer.get_decoder_prompt_ids(
          task=task, language=language, no_timestamps=no_timestamps
      )
  
file_path: transformers/src/transformers/models/whisper/processing_whisper.py
imports: from ...processing_utils import ProcessorMixin
label_desc: Use image node_id 2 for calling the WhisperProcessor obj's underlying member method code with example usage: obj.get_decoder_prompt_ids(task, language, no_timestamps) and returns: self