diff --git a/tests/models/big_bird/test_modeling_big_bird.py b/tests/models/big_bird/test_modeling_big_bird.py
index 7a7ad5071df26b..bda5cb62186af2 100644
--- a/tests/models/big_bird/test_modeling_big_bird.py
+++ b/tests/models/big_bird/test_modeling_big_bird.py
@@ -716,7 +716,7 @@ def test_block_sparse_attention_probs(self):
         """
 
         if not self.test_attention_probs:
-            self.skip("test_attention_probs is set to False")
+            self.skipTest("test_attention_probs is set to False")
 
         model = BigBirdModel.from_pretrained(
             "google/bigbird-roberta-base", attention_type="block_sparse", num_random_blocks=3, block_size=16
diff --git a/tests/models/whisper/test_modeling_whisper.py b/tests/models/whisper/test_modeling_whisper.py
index 5fc66f9a20551d..0232543d121f2f 100644
--- a/tests/models/whisper/test_modeling_whisper.py
+++ b/tests/models/whisper/test_modeling_whisper.py
@@ -3335,7 +3335,7 @@ def test_equivalence_flax_to_pt(self):
                 fx_model_class_name = "Flax" + model_class.__name__
 
                 if not hasattr(transformers, fx_model_class_name):
-                    self.skip("Flax model does not exist")
+                    self.skipTest("Flax model does not exist")
 
                 # Output all for aggressive testing
                 config.output_hidden_states = True
diff --git a/tests/test_tokenization_common.py b/tests/test_tokenization_common.py
index 60ed58c4005364..867ca859ebc109 100644
--- a/tests/test_tokenization_common.py
+++ b/tests/test_tokenization_common.py
@@ -2678,7 +2678,7 @@ def test_np_encode_plus_sent_to_model(self):
                 config = config_class()
 
                 if config.is_encoder_decoder or config.pad_token_id is None:
-                    self.skip("Model is not an encoder-decoder model or has no set pad token id")
+                    self.skipTest("Model is not an encoder-decoder model or has no set pad token id")
 
                 # Build sequence
                 first_ten_tokens = list(tokenizer.get_vocab().keys())[:10]