code: def create_and_check_electra_model(
      self,
      config,
      input_ids,
      token_type_ids,
      input_mask,
      sequence_labels,
      token_labels,
      choice_labels,
      fake_token_labels,
  ):
      model = ElectraModel(config=config)
      model.to(torch_device)
      model.eval()
      result = model(
          input_ids,
          attention_mask=input_mask,
          token_type_ids=token_type_ids,
      )
      result = model(input_ids, token_type_ids=token_type_ids)
      result = model(input_ids)
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, self.seq_length, self.hidden_size),
      )
  
imports: import unittest
  from transformers import ElectraConfig, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 5 for calling the ElectraModelTester obj's underlying member method code with example usage: obj.create_and_check_electra_model(config, input_ids, token_type_ids, input_mask, sequence_labels, token_labels, choice_labels, fake_token_labels) without return types