class_docstr: Constructs a SeamlessM4T processor which wraps a SeamlessM4T feature extractor and a SeamlessM4T tokenizer into a
  single processor.
  
  [`SeamlessM4TProcessor`] offers all the functionalities of [`SeamlessM4TFeatureExtractor`] and
  [`SeamlessM4TTokenizerFast`]. See the [`~SeamlessM4TProcessor.__call__`] and [`~SeamlessM4TProcessor.decode`] for
  more information.
  
  Args:
      feature_extractor ([`SeamlessM4TFeatureExtractor`]):
          The audio processor is a required input.
      tokenizer ([`SeamlessM4TTokenizerFast`]):
          The tokenizer is a required input.
code: def __init__(self, feature_extractor, tokenizer):
      super().__init__(feature_extractor, tokenizer)
  
imports: from ...processing_utils import ProcessorMixin
label_desc: Use image node_id 1 to create a new SeamlessM4TProcessor object from inherited base classes: ProcessorMixin with example: obj = SeamlessM4TProcessor(feature_extractor, tokenizer)