code: def asr_model():
      preprocessor = {
          "_target_": "nemo.collections.asr.modules.AudioToMelSpectrogramPreprocessor"
      }
      encoder = {
          "_target_": "nemo.collections.asr.modules.ConvASREncoder",
          "feat_in": 64,
          "activation": "relu",
          "conv_mask": True,
          "jasper": [
              {
                  "filters": 1024,
                  "repeat": 1,
                  "kernel": [1],
                  "stride": [1],
                  "dilation": [1],
                  "dropout": 0.0,
                  "residual": False,
                  "separable": True,
                  "se": True,
                  "se_context_size": -1,
              }
          ],
      }
  
      decoder = {
          "_target_": "nemo.collections.asr.modules.ConvASRDecoder",
          "feat_in": 1024,
          "num_classes": 28,
          "vocabulary": [
              " ",
              "a",
              "b",
              "c",
              "d",
              "e",
              "f",
              "g",
              "h",
              "i",
              "j",
              "k",
              "l",
              "m",
              "n",
              "o",
              "p",
              "q",
              "r",
              "s",
              "t",
              "u",
              "v",
              "w",
              "x",
              "y",
              "z",
              "'",
          ],
      }
      modelConfig = DictConfig(
          {
              "preprocessor": DictConfig(preprocessor),
              "encoder": DictConfig(encoder),
              "decoder": DictConfig(decoder),
          }
      )
  
      model_instance = EncDecCTCModel(cfg=modelConfig)
      return model_instance
  
imports: import copy
  import pytest
  import torch
  from omegaconf import DictConfig, OmegaConf, open_dict
  import nemo.collections.asr
  from nemo.collections.asr.data import audio_to_text
  from nemo.collections.asr.models import EncDecCTCModel, configs
  from nemo.collections.asr.parts.submodules.ctc_decoding import CTCDecoding, CTCDecodingConfig
  from nemo.utils.config_utils import assert_dataclass_signature_match, update_model_config
label_desc: Use image node_id 1 for calling a global function with example usage: asr_model() and returns: model_instance