code: def get_config(self):
      return XLNetConfig(
          vocab_size=self.vocab_size,
          d_model=self.hidden_size,
          n_head=self.num_attention_heads,
          d_inner=self.d_inner,
          n_layer=self.num_hidden_layers,
          untie_r=self.untie_r,
          mem_len=self.mem_len,
          clamp_len=self.clamp_len,
          same_length=self.same_length,
          reuse_len=self.reuse_len,
          bi_data=self.bi_data,
          initializer_range=self.initializer_range,
          num_labels=self.type_sequence_label_size,
          bos_token_id=self.bos_token_id,
          pad_token_id=self.pad_token_id,
          eos_token_id=self.eos_token_id,
      )
  
imports: import random
  import unittest
  from transformers import XLNetConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the XLNetModelTester obj's underlying member method code with example usage: obj.get_config() and returns: XLNetConfig