code: def _get_model(model_file, dict_dir):
      original = _load_fairseq_model(model_file, dict_dir)
      model = import_fairseq_model(original.w2v_encoder)
      return model
  
imports: import argparse
  import logging
  import os
  from typing import Tuple
  import fairseq
  import torch
  import torchaudio
  from greedy_decoder import Decoder
  from torch.utils.mobile_optimizer import optimize_for_mobile
  from torchaudio.models.wav2vec2.utils.import_fairseq import import_fairseq_model
label_desc: Use image node_id 4 for calling a global function with example usage: _get_model(model_file, dict_dir) and returns: model