code: def __init__(self, model, dict_file):
      CTCDecoderLM.__init__(self)
      self.model = model
      self.vocab = _Dictionary(dict_file)
      self.eos = self.vocab.get_index("|")
      self.states = {}
  
      model.eval()
  
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 1 to create a new CustomBiasedLM object from inherited base classes: CTCDecoderLM with example: obj = CustomBiasedLM(model, dict_file)