diff --git a/tests/models/layoutlmv3/test_image_processing_layoutlmv3.py b/tests/models/layoutlmv3/test_image_processing_layoutlmv3.py
index 378f65b883f419..8d4b64c2ccd409 100644
--- a/tests/models/layoutlmv3/test_image_processing_layoutlmv3.py
+++ b/tests/models/layoutlmv3/test_image_processing_layoutlmv3.py
@@ -95,7 +95,6 @@ def test_image_processor_from_dict_with_kwargs(self):
         image_processor = self.image_processing_class.from_dict(self.image_processor_dict, size=42)
         self.assertEqual(image_processor.size, {"height": 42, "width": 42})
 
-
     def test_LayoutLMv3_integration_test(self):
         # with apply_OCR = True
         image_processing = LayoutLMv3ImageProcessor()
diff --git a/tests/models/tapas/test_modeling_tapas.py b/tests/models/tapas/test_modeling_tapas.py
index 7fbfcc6682fa0b..7918cad2b98ce9 100644
--- a/tests/models/tapas/test_modeling_tapas.py
+++ b/tests/models/tapas/test_modeling_tapas.py
@@ -522,12 +522,13 @@ def test_for_sequence_classification(self):
     @require_tensorflow_probability
     @unittest.skip("tfp is not defined even if installed. FIXME @Arthur in a followup PR!")
     def test_pt_tf_model_equivalence(self):
-        super().test_pt_tf_model_equivalence()
+        pass
 
     @unittest.skip("tfp is not defined even if installed. FIXME @Arthur in a followup PR!")
     def test_tf_from_pt_safetensors(self):
         pass
 
+
 def prepare_tapas_single_inputs_for_inference():
     # Here we prepare a single table-question pair to test TAPAS inference on:
     data = {