code: def create_and_check_model(
      self,
      config,
      input_ids,
      input_mask,
      sequence_labels,
      token_labels,
      choice_labels,
  ):
      model = EsmModel(config=config)
      model.to(torch_device)
      model.eval()
      result = model(input_ids, attention_mask=input_mask)
      result = model(input_ids)
      result = model(input_ids)
  
      self.parent.assertEqual(
          result.last_hidden_state.shape,
          (self.batch_size, self.seq_length, self.hidden_size),
      )
      self.parent.assertEqual(
          result.pooler_output.shape,
          (self.batch_size, self.hidden_size),
      )
  
imports: import unittest
  from transformers import EsmConfig, is_torch_available
  from transformers.testing_utils import TestCasePlus, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 4 for calling the EsmModelTester obj's underlying member method code with example usage: obj.create_and_check_model(config, input_ids, input_mask, sequence_labels, token_labels, choice_labels) without return types