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.
docstr: This method forwards all its arguments to SeamlessM4TTokenizerFast's [`~PreTrainedTokenizer.decode`]. Please
  refer to the docstring of this method for more information.
docstr_tok: ["This","method","forwards","all","its","arguments","to","SeamlessM4TTokenizerFast","'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 SeamlessM4TTokenizerFast'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 4 for calling the SeamlessM4TProcessor obj's underlying member method code with example usage: obj.decode() and returns: self