code: def get_transcriber(
      model="openai/whisper-base.en", use_gpu=True, gpu_id="auto"
  ):
      if gpu_id == "auto":
          gpu_id = 0
      device = get_device()
      if device == "cpu" or not use_gpu:
          device_map = "auto"  # {"", 'cpu'}
      else:
          device_map = {"": gpu_id} if gpu_id >= 0 else {"": "cuda"}
  
      from transformers import pipeline
  
      transcriber = pipeline(
          "automatic-speech-recognition",
          model=model,
          device_map=device_map,
      )
      return transcriber
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_transcriber(model, use_gpu, gpu_id) and returns: transcriber