code: def get_config(self):
      return XLMConfig(
          vocab_size=self.vocab_size,
          n_special=self.n_special,
          emb_dim=self.hidden_size,
          n_layers=self.num_hidden_layers,
          n_heads=self.num_attention_heads,
          dropout=self.hidden_dropout_prob,
          attention_dropout=self.attention_probs_dropout_prob,
          gelu_activation=self.gelu_activation,
          sinusoidal_embeddings=self.sinusoidal_embeddings,
          asm=self.asm,
          causal=self.causal,
          n_langs=self.n_langs,
          max_position_embeddings=self.max_position_embeddings,
          initializer_range=self.initializer_range,
          summary_type=self.summary_type,
          use_proj=self.use_proj,
          num_labels=self.num_labels,
          bos_token_id=self.bos_token_id,
      )
  
imports: import unittest
  from transformers import XLMConfig, 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 XLMModelTester obj's underlying member method code with example usage: obj.get_config() and returns: XLMConfig