code: def get_pipeline_config(self):
      config = self.get_config()
      config.max_position_embeddings = 100
      return config
  
imports: import copy
  import tempfile
  import unittest
  import timeout_decorator
  from transformers import OPTConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
label_desc: Use image node_id 4 for calling the OPTModelTester obj's underlying member method code with example usage: obj.get_pipeline_config() and returns: config