code: def test_model_from_pretrained(self):
      for model_name in TF_ALBERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
          model = TFAlbertModel.from_pretrained(model_name)
          self.assertIsNotNone(model)
  
imports: from __future__ import annotations
  import unittest
  from transformers import AlbertConfig, 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, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 10 for calling the TFAlbertModelTest obj's underlying member method code with example usage: obj.test_model_from_pretrained() without return types