fix test examples et model pretrained

pytorch_transformers/modeling_utils.py

@@ -49,7 +49,7 @@ class PretrainedConfig(object):
         self.torchscript = kwargs.pop('torchscript', False)
 
     @classmethod
-    def from_pretrained(cls, pretrained_model_name_or_path, **kwargs):
+    def from_pretrained(cls, pretrained_model_name_or_path, *input, **kwargs):
         """
         Instantiate a PretrainedConfig from a pre-trained model configuration.
 

pytorch_transformers/tests/modeling_utils_test.py

@@ -30,6 +30,7 @@ class ModelUtilsTest(unittest.TestCase):
             self.assertIsNotNone(config)
             self.assertIsInstance(config, PretrainedConfig)
 
+            model = BertModel.from_pretrained(model_name)
             model, loading_info = BertModel.from_pretrained(model_name, output_loading_info=True)
             self.assertIsNotNone(model)
             self.assertIsInstance(model, PreTrainedModel)