code: def setUp(self):
      self.model_tester = CanineModelTester(self)
      # we set has_text_modality to False as the config has no vocab_size attribute
      self.config_tester = ConfigTester(
          self,
          config_class=CanineConfig,
          has_text_modality=False,
          hidden_size=37,
      )
  
imports: import unittest
  from typing import List, Tuple
  from transformers import CanineConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, global_rng, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the CanineModelTest obj's underlying member method code with example usage: obj.setUp() without return types