code: def score(self, state: CTCDecoderLMState, token_index: int):
      outstate = state.child(token_index)
      if outstate not in self.states:
          score = self.model(token_index)
          self.states[outstate] = score
      score = self.states[outstate]
  
      return outstate, score
  
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 3 for calling the CustomBiasedLM obj's underlying member method code with example usage: obj.score(state, token_index) and returns: outstate,  score