code: def create_and_check_xlm_model(
      self,
      config,
      input_ids,
      token_type_ids,
      input_lengths,
      sequence_labels,
      token_labels,
      is_impossible_labels,
      choice_labels,
      input_mask,
  ):
      model = TFXLMModel(config=config)
      inputs = {
          "input_ids": input_ids,
          "lengths": input_lengths,
          "langs": token_type_ids,
      }
      result = model(inputs)
  
      inputs = [input_ids, input_mask]
      result = model(inputs)
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, self.seq_length, self.hidden_size),
      )
  
imports: from __future__ import annotations
  import unittest
  from transformers import is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the TFXLMModelTester obj's underlying member method code with example usage: obj.create_and_check_xlm_model(config, input_ids, token_type_ids, input_lengths, sequence_labels, token_labels, is_impossible_labels, choice_labels, input_mask) without return types