Update tiny models and pipeline tests (#23446)

* fix

---------

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

tests/models/focalnet/test_modeling_focalnet.py

@@ -25,6 +25,7 @@ from transformers.utils import cached_property, is_torch_available, is_vision_av
 from ...test_backbone_common import BackboneTesterMixin
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
+from ...test_pipeline_mixin import PipelineTesterMixin
 
 
 if is_torch_available():
@@ -226,7 +227,7 @@ class FocalNetModelTester:
 
 
 @require_torch
-class FocalNetModelTest(ModelTesterMixin, unittest.TestCase):
+class FocalNetModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (
         (
             FocalNetModel,
@@ -237,6 +238,11 @@ class FocalNetModelTest(ModelTesterMixin, unittest.TestCase):
         if is_torch_available()
         else ()
     )
+    pipeline_model_mapping = (
+        {"feature-extraction": FocalNetModel, "image-classification": FocalNetForImageClassification}
+        if is_torch_available()
+        else {}
+    )
     fx_compatible = False
 
     test_pruning = False