code: def start(self, start_with_nothing: bool = False):
      state = CTCDecoderLMState()
      with torch.no_grad():
          score = self.model(self.eos)
  
      self.states[state] = score
      return state
  
imports: import torch
  from torchaudio.models.decoder import CTCDecoderLM, CTCDecoderLMState
  from torchaudio.models.decoder._ctc_decoder import _create_word_dict, _Dictionary, _KenLM, _load_words
label_desc: Use image node_id 2 for calling the CustomBiasedLM obj's underlying member method code with example usage: obj.start(start_with_nothing) and returns: state