code: def get_pipeline_config(self):
      config = self.get_config()
      config.vocab_size = 300
      return config
  
imports: import unittest
  from transformers import DebertaConfig, 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
label_desc: Use image node_id 4 for calling the DebertaModelTester obj's underlying member method code with example usage: obj.get_pipeline_config() and returns: config