code: def _get_model(model_id):
      from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
  
      tokenizer = Wav2Vec2Processor.from_pretrained(model_id).tokenizer
      labels = [
          k
          for k, v in sorted(
              tokenizer.get_vocab().items(), key=lambda kv: kv[1]
          )
      ]
      original = Wav2Vec2ForCTC.from_pretrained(model_id)
      model = import_huggingface_model(original)
      return model.eval(), labels
  
imports: import argparse
  import logging
  import os
  from typing import Tuple
  import torch
  import torchaudio
  from greedy_decoder import Decoder
  from torchaudio.models.wav2vec2.utils.import_huggingface import import_huggingface_model
label_desc: Use image node_id 2 for calling a global function with example usage: _get_model(model_id) and returns: model,  labels