code: def test_for_masked_lm(self):
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_deberta_for_masked_lm(
          *config_and_inputs
      )
  
imports: import unittest
  from transformers import DebertaV2Config, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 5 for calling the DebertaV2ModelTest obj's underlying member method code with example usage: obj.test_for_masked_lm() without return types