class_docstr: You can also import this e.g from .test_modeling_markuplm import MarkupLMModelTester
class_docstr_tok: ["You","can","also","import","this","e.g","from",".test_modeling_markuplm","import","MarkupLMModelTester"]
code: def get_config(self):
      return MarkupLMConfig(
          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_size=self.intermediate_size,
          hidden_act=self.hidden_act,
          hidden_dropout_prob=self.hidden_dropout_prob,
          attention_probs_dropout_prob=self.attention_probs_dropout_prob,
          max_position_embeddings=self.max_position_embeddings,
          type_vocab_size=self.type_vocab_size,
          initializer_range=self.initializer_range,
          max_xpath_tag_unit_embeddings=self.max_xpath_tag_unit_embeddings,
          max_xpath_subs_unit_embeddings=self.max_xpath_subs_unit_embeddings,
          tag_pad_id=self.tag_pad_id,
          subs_pad_id=self.subs_pad_id,
          max_depth=self.max_depth,
      )
  
imports: import unittest
  from transformers import MarkupLMConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from transformers.utils import cached_property
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
  from transformers import MarkupLMFeatureExtractor, MarkupLMProcessor, MarkupLMTokenizer
label_desc: Use image node_id 3 for calling the MarkupLMModelTester obj's underlying member method code with example usage: obj.get_config() and returns: MarkupLMConfig