Sync video classification pipeline with huggingface_hub spec (#34288)

* Sync video classification pipeline

* Add disclaimer

tests/pipelines/test_pipelines_video_classification.py

@@ -14,11 +14,12 @@
 
 import unittest
 
-from huggingface_hub import hf_hub_download
+from huggingface_hub import VideoClassificationOutputElement, hf_hub_download
 
 from transformers import MODEL_FOR_VIDEO_CLASSIFICATION_MAPPING, VideoMAEFeatureExtractor
 from transformers.pipelines import VideoClassificationPipeline, pipeline
 from transformers.testing_utils import (
+    compare_pipeline_output_to_hub_spec,
     is_pipeline_test,
     nested_simplify,
     require_av,
@@ -76,6 +77,8 @@ class VideoClassificationPipelineTests(unittest.TestCase):
                     {"score": ANY(float), "label": ANY(str)},
                 ],
             )
+            for element in outputs:
+                compare_pipeline_output_to_hub_spec(element, VideoClassificationOutputElement)
 
     @require_torch
     def test_small_model_pt(self):
@@ -93,6 +96,9 @@ class VideoClassificationPipelineTests(unittest.TestCase):
             nested_simplify(outputs, decimals=4),
             [{"score": 0.5199, "label": "LABEL_0"}, {"score": 0.4801, "label": "LABEL_1"}],
         )
+        for output in outputs:
+            for element in output:
+                compare_pipeline_output_to_hub_spec(element, VideoClassificationOutputElement)
 
         outputs = video_classifier(
             [
@@ -108,6 +114,9 @@ class VideoClassificationPipelineTests(unittest.TestCase):
                 [{"score": 0.5199, "label": "LABEL_0"}, {"score": 0.4801, "label": "LABEL_1"}],
             ],
         )
+        for output in outputs:
+            for element in output:
+                compare_pipeline_output_to_hub_spec(element, VideoClassificationOutputElement)
 
     @require_tf
     @unittest.skip