Merge branch 'master' into generation_sampler

transformers/tests/modeling_auto_test.py

@@ -22,7 +22,7 @@ import logging
 
 from transformers import is_torch_available
 
-from .utils import require_torch, slow
+from .utils import require_torch, slow, SMALL_MODEL_IDENTIFIER
 
 if is_torch_available():
     from transformers import (AutoConfig, BertConfig,
@@ -92,6 +92,11 @@ class AutoModelTest(unittest.TestCase):
             self.assertIsNotNone(model)
             self.assertIsInstance(model, BertForQuestionAnswering)
 
+    def test_from_pretrained_identifier(self):
+        logging.basicConfig(level=logging.INFO)
+        model = AutoModelWithLMHead.from_pretrained(SMALL_MODEL_IDENTIFIER)
+        self.assertIsInstance(model, BertForMaskedLM)
+
 
 if __name__ == "__main__":
     unittest.main()