AutoConfig + other Auto classes honor model_type

tests/fixtures/dummy-config.json

@@ -0,0 +1,3 @@
+{
+  "model_type": "roberta"
+}

tests/test_configuration_auto.py

@@ -0,0 +1,38 @@
+# coding=utf-8
+# Copyright 2019-present, the HuggingFace Inc. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+import unittest
+
+from transformers.configuration_auto import AutoConfig
+from transformers.configuration_bert import BertConfig
+from transformers.configuration_roberta import RobertaConfig
+
+
+SAMPLE_ROBERTA_CONFIG = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixtures/dummy-config.json")
+
+
+class AutoConfigTest(unittest.TestCase):
+    def test_config_from_model_shortcut(self):
+        config = AutoConfig.from_pretrained("bert-base-uncased")
+        self.assertIsInstance(config, BertConfig)
+
+    def test_config_from_model_type(self):
+        config = AutoConfig.from_pretrained(SAMPLE_ROBERTA_CONFIG)
+        self.assertIsInstance(config, RobertaConfig)
+
+    def test_config_for_model_str(self):
+        config = AutoConfig.for_model("roberta")
+        self.assertIsInstance(config, RobertaConfig)

tests/test_modeling_auto.py

@@ -83,7 +83,7 @@ class AutoModelTest(unittest.TestCase):
             self.assertIsNotNone(model)
             self.assertIsInstance(model, BertForSequenceClassification)
 
-    @slow
+    # @slow
     def test_question_answering_model_from_pretrained(self):
         logging.basicConfig(level=logging.INFO)
         for model_name in list(BERT_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:

tests/test_tokenization_auto.py

@@ -29,7 +29,7 @@ from .utils import SMALL_MODEL_IDENTIFIER, slow
 
 
 class AutoTokenizerTest(unittest.TestCase):
-    @slow
+    # @slow
     def test_tokenizer_from_pretrained(self):
         logging.basicConfig(level=logging.INFO)
         for model_name in list(BERT_PRETRAINED_CONFIG_ARCHIVE_MAP.keys())[:1]: