code: def test_model_from_pretrained(self):
      model = TFBertModel.from_pretrained("jplu/tiny-tf-bert-random")
      self.assertIsNotNone(model)
  
imports: from __future__ import annotations
  import unittest
  from transformers import BertConfig, is_tf_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
  from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
label_desc: Use image node_id 20 for calling the TFBertModelTest obj's underlying member method code with example usage: obj.test_model_from_pretrained() without return types