code: def get_config(self):
      return TableTransformerConfig(
          d_model=self.hidden_size,
          encoder_layers=self.num_hidden_layers,
          decoder_layers=self.num_hidden_layers,
          encoder_attention_heads=self.num_attention_heads,
          decoder_attention_heads=self.num_attention_heads,
          encoder_ffn_dim=self.intermediate_size,
          decoder_ffn_dim=self.intermediate_size,
          dropout=self.hidden_dropout_prob,
          attention_dropout=self.attention_probs_dropout_prob,
          num_queries=self.num_queries,
          num_labels=self.num_labels,
      )
  
imports: import inspect
  import math
  import unittest
  from huggingface_hub import hf_hub_download
  from transformers import TableTransformerConfig, is_timm_available, is_vision_available
  from transformers.testing_utils import require_timm, require_vision, slow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor
label_desc: Use image node_id 3 for calling the TableTransformerModelTester obj's underlying member method code with example usage: obj.get_config() and returns: TableTransformerConfig