code: def get_config(self):
      return DistilBertConfig(
          vocab_size=self.vocab_size,
          dim=self.hidden_size,
          n_layers=self.num_hidden_layers,
          n_heads=self.num_attention_heads,
          hidden_dim=self.intermediate_size,
          hidden_act=self.hidden_act,
          dropout=self.hidden_dropout_prob,
          attention_dropout=self.attention_probs_dropout_prob,
          max_position_embeddings=self.max_position_embeddings,
          initializer_range=self.initializer_range,
      )
  
imports: import os
  import tempfile
  import unittest
  from transformers import DistilBertConfig, is_torch_available
  from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
label_desc: Use image node_id 3 for calling the DistilBertModelTester obj's underlying member method code with example usage: obj.get_config() and returns: DistilBertConfig