code: def test_load_save_finetune_model(self):
      model = build_model(self.config.model_config[self.model_name])
      self.assertTrue(test_utils.verify_torchscript_models(model))
  
imports: import gc
  import unittest
  import tests.test_utils
  import torch
  from mmf.common.sample import SampleList
  from mmf.models.mmf_transformer import MMFTransformer, MMFTransformerModalityConfig
  from mmf.models.transformers.heads.mlm import MLM
  from mmf.modules.encoders import EncoderFactory, IdentityEncoder, ImageEncoderFactory, ImageEncoderTypes, ResNet152ImageEncoder, TextEncoderFactory, TextEncoderTypes
  from mmf.utils.build import build_model
  from mmf.utils.configuration import Configuration
  from mmf.utils.env import setup_imports, teardown_imports
  from omegaconf import OmegaConf
  from tests.test_utils import skip_if_no_pytorchvideo
label_desc: Use image node_id 3 for calling the TestMMFTransformerTorchscript obj's underlying member method code with example usage: obj.test_load_save_finetune_model() without return types