Fix PVT v2 tests (#29660)

* update

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/pvt_v2/test_modeling_pvt_v2.py

@@ -19,7 +19,6 @@ import tempfile
 import unittest
 
 from transformers import PvtV2Backbone, PvtV2Config, is_torch_available, is_vision_available
-from transformers.models.auto import get_values
 from transformers.testing_utils import (
     require_accelerate,
     require_torch,
@@ -38,7 +37,8 @@ from ...test_pipeline_mixin import PipelineTesterMixin
 if is_torch_available():
     import torch
 
-    from transformers import MODEL_MAPPING, AutoImageProcessor, PvtV2ForImageClassification, PvtV2Model
+    from transformers import AutoImageProcessor, PvtV2ForImageClassification, PvtV2Model
+    from transformers.models.auto.modeling_auto import MODEL_MAPPING_NAMES
     from transformers.models.pvt_v2.modeling_pvt_v2 import PVT_V2_PRETRAINED_MODEL_ARCHIVE_LIST
 
 
@@ -289,7 +289,7 @@ class PvtV2ModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         config.return_dict = True
 
         for model_class in self.all_model_classes:
-            if model_class in get_values(MODEL_MAPPING):
+            if model_class.__name__ in MODEL_MAPPING_NAMES.values():
                 continue
             model = model_class(config)
             model.to(torch_device)