Add support for multiple models for one config in auto classes (#11150)

* Add support for multiple models for one config in auto classes

* Use get_values everywhere

* Prettier doc

tests/test_modeling_tf_albert.py

@@ -17,6 +17,7 @@
 import unittest
 
 from transformers import AlbertConfig, is_tf_available
+from transformers.models.auto import get_values
 from transformers.testing_utils import require_tf, slow
 
 from .test_configuration_common import ConfigTester
@@ -249,7 +250,7 @@ class TFAlbertModelTest(TFModelTesterMixin, unittest.TestCase):
         inputs_dict = super()._prepare_for_class(inputs_dict, model_class, return_labels=return_labels)
 
         if return_labels:
-            if model_class in TF_MODEL_FOR_PRETRAINING_MAPPING.values():
+            if model_class in get_values(TF_MODEL_FOR_PRETRAINING_MAPPING):
                 inputs_dict["sentence_order_label"] = tf.zeros(self.model_tester.batch_size, dtype=tf.int32)
 
         return inputs_dict