code: def test_transfo_xl_model(self):
      self.model_tester.set_seed()
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      output_result = self.model_tester.create_transfo_xl_model(
          *config_and_inputs
      )
      self.model_tester.check_transfo_xl_model_output(output_result)
  
imports: import copy
  import random
  import unittest
  from transformers import TransfoXLConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torch_multi_gpu, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
label_desc: Use image node_id 4 for calling the TransfoXLModelTest obj's underlying member method code with example usage: obj.test_transfo_xl_model() without return types