code: def test_model_from_pretrained(self):
      for model_name in GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
          model = GPTJModel.from_pretrained(
              model_name, revision="float16", torch_dtype=torch.float16
          )
          self.assertIsNotNone(model)
  
imports: import datetime
  import unittest
  from transformers import GPTJConfig, is_torch_available
  from transformers.testing_utils import require_torch, slow, tooslow, torch_device
  from ...generation.test_generation_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
label_desc: Use image node_id 11 for calling the GPTJModelTest obj's underlying member method code with example usage: obj.test_model_from_pretrained() without return types