chunk_content: ine
  
  audio = "https://huggingface.co/datasets/stevhliu/dummy/resolve/main/mrt_01523_00028548203.wav"
  pipeline = AutomaticSpeechRecognitionPipeline(model=model, tokenizer=tokenizer, feature_extractor=feature_extractor)
  Then use the pipeline with autocast as a context manager on the audio sample:
  
  
  	Copied
  with torch.cuda.amp.autocast():
      text = pipe(audio, generate_kwargs={"forced_decoder_ids": forced_decoder_ids}, max_new_tokens=255)["text"]