code: def get_config(self):
      return GPTNeoXJapaneseConfig(
          vocab_size=self.vocab_size,
          hidden_size=self.hidden_size,
          num_hidden_layers=self.num_hidden_layers,
          num_attention_heads=self.num_attention_heads,
          intermediate_multiple_size=self.intermediate_multiple_size,
          hidden_act=self.hidden_act,
          hidden_dropout=self.hidden_dropout,
          attention_dropout=self.attention_dropout,
          weight_tying=self.weight_tying,
          max_position_embeddings=self.max_position_embeddings,
          type_vocab_size=self.type_vocab_size,
          is_decoder=False,
          initializer_range=self.initializer_range,
      )
  
imports: import unittest
  from transformers import GPTNeoXJapaneseConfig, is_torch_available
  from transformers.models.gpt_neox_japanese.tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer
  from transformers.testing_utils import require_torch, slow, torch_device
  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 GPTNeoXJapaneseModelTester obj's underlying member method code with example usage: obj.get_config() and returns: GPTNeoXJapaneseConfig