chunk_content: rt AutoFeatureExtractor, AutoTokenizer, AutoProcessor
  
  feature_extractor = AutoFeatureExtractor.from_pretrained(model_name_or_path)
  tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, language=language, task=task)
  processor = AutoProcessor.from_pretrained(model_name_or_path, language=language, task=task)
  You’ll only be training on the sentence and audio columns, so you can remove the rest of the metadata with remove_columns:
  
  
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