Python TFGPT2Model.from_pretrained Examples

Example #1

 def test_model_from_pretrained(self):
     cache_dir = "/tmp/transformers_test/"
     for model_name in list(
             TF_gpt2_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
         model = TFGPT2Model.from_pretrained(model_name,
                                             cache_dir=cache_dir)
         shutil.rmtree(cache_dir)
         self.assertIsNotNone(model)

Example #2

 def test_model_from_pretrained(self):
     for model_name in TF_GPT2_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
         model = TFGPT2Model.from_pretrained(model_name)
         self.assertIsNotNone(model)

Example #3

File: test_modeling_tf_gpt2.py Project: PlusLabNLP/StoryGenerationDemo

 def test_model_from_pretrained(self):
     for model_name in list(
             TF_GPT2_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
         model = TFGPT2Model.from_pretrained(model_name,
                                             cache_dir=CACHE_DIR)
         self.assertIsNotNone(model)