Update tiny model info. and pipeline testing (#25213)

* update tiny_model_summary.json

* update

* update

* update

---------

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

tests/models/vivit/test_modeling_vivit.py

@@ -29,6 +29,7 @@ from transformers.utils import cached_property, is_torch_available, is_vision_av
 
 from ...test_configuration_common import ConfigTester
 from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
+from ...test_pipeline_mixin import PipelineTesterMixin
 
 
 if is_torch_available():
@@ -153,13 +154,18 @@ class VivitModelTester:
 
 
 @require_torch
-class VivitModelTest(ModelTesterMixin, unittest.TestCase):
+class VivitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     """
     Here we also overwrite some of the tests of test_modeling_common.py, as Vivit does not use input_ids, inputs_embeds,
     attention_mask and seq_length.
     """
 
     all_model_classes = (VivitModel, VivitForVideoClassification) if is_torch_available() else ()
+    pipeline_model_mapping = (
+        {"feature-extraction": VivitModel, "video-classification": VivitForVideoClassification}
+        if is_torch_available()
+        else {}
+    )
 
     test_pruning = False
     test_torchscript = False