code: def test_flaubert_model(self):
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_flaubert_model(
          *config_and_inputs
      )
  
imports: from __future__ import annotations
  import unittest
  from transformers import is_tf_available
  from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 4 for calling the TFFlaubertModelTest obj's underlying member method code with example usage: obj.test_flaubert_model() without return types