code: def get_pipeline_config(self):
      config = self.get_config()
      config.vocab_size = 300
      return config
  
imports: import unittest
  from transformers import MraConfig, is_torch_available
  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 4 for calling the MraModelTester obj's underlying member method code with example usage: obj.get_pipeline_config() and returns: config