diff --git a/tests/models/whisper/test_tokenization_whisper.py b/tests/models/whisper/test_tokenization_whisper.py
index 731abd3a283e4b..170857cffb98cb 100644
--- a/tests/models/whisper/test_tokenization_whisper.py
+++ b/tests/models/whisper/test_tokenization_whisper.py
@@ -16,7 +16,7 @@
 
 from transformers.models.whisper import WhisperTokenizer, WhisperTokenizerFast
 from transformers.models.whisper.tokenization_whisper import _combine_tokens_into_words, _find_longest_common_sequence
-from transformers.testing_utils import require_jinja, slow
+from transformers.testing_utils import slow
 
 from ...test_tokenization_common import TokenizerTesterMixin
 
@@ -67,26 +67,26 @@ def test_full_tokenizer(self):
         tokenizer = WhisperTokenizer.from_pretrained(self.tmpdirname)
 
         tokens = tokenizer.tokenize("This is a test")
-        self.assertListEqual(tokens, ["This", "Ġis", "Ġa", "Ġ", "test"])
+        self.assertListEqual(tokens, ["This", "Ġis", "Ġa", "Ġtest"])
 
         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(tokens),
-            [5723, 307, 257, 220, 31636],
+            [5723, 307, 257, 1500],
         )
 
         tokens = tokenizer.tokenize("I was born in 92000, and this is falsé.")
         self.assertListEqual(
             tokens,
-            ["I", "Ġwas", "Ġborn", "Ġin", "Ġ9", "2000", ",", "Ġand", "Ġ", "this", "Ġis", "Ġfals", "é", "."],  # fmt: skip
-        )  # fmt: skip
+            ["I", "Ġwas", "Ġborn", "Ġin", "Ġ9", "2000", ",", "Ġand", "Ġthis", "Ġis", "Ġfals", "é", "."],  # fmt: skip
+        )
         ids = tokenizer.convert_tokens_to_ids(tokens)
-        self.assertListEqual(ids, [40, 390, 4232, 294, 1722, 25743, 11, 293, 220, 11176, 307, 16720, 526, 13])
+        self.assertListEqual(ids, [40, 390, 4232, 294, 1722, 25743, 11, 293, 341, 307, 16720, 526, 13])
 
         back_tokens = tokenizer.convert_ids_to_tokens(ids)
         self.assertListEqual(
             back_tokens,
-            ["I", "Ġwas", "Ġborn", "Ġin", "Ġ9", "2000", ",", "Ġand", "Ġ", "this", "Ġis", "Ġfals", "é", "."],  # fmt: skip
-        )  # fmt: skip
+            ["I", "Ġwas", "Ġborn", "Ġin", "Ġ9", "2000", ",", "Ġand", "Ġthis", "Ġis", "Ġfals", "é", "."],  # fmt: skip
+        )
 
     def test_tokenizer_slow_store_full_signature(self):
         pass
@@ -499,25 +499,3 @@ def test_offset_decoding(self):
 
         output = multilingual_tokenizer.decode(INPUT_TOKENS, output_offsets=True)["offsets"]
         self.assertEqual(output, [])
-
-    @require_jinja
-    def test_tokenization_for_chat(self):
-        multilingual_tokenizer = WhisperTokenizer.from_pretrained("openai/whisper-tiny")
-        # This is in English, but it's just here to make sure the chat control tokens are being added properly
-        test_chats = [
-            [{"role": "system", "content": "You are a helpful chatbot."}, {"role": "user", "content": "Hello!"}],
-            [
-                {"role": "system", "content": "You are a helpful chatbot."},
-                {"role": "user", "content": "Hello!"},
-                {"role": "assistant", "content": "Nice to meet you."},
-            ],
-            [{"role": "assistant", "content": "Nice to meet you."}, {"role": "user", "content": "Hello!"}],
-        ]
-        tokenized_chats = [multilingual_tokenizer.apply_chat_template(test_chat) for test_chat in test_chats]
-        expected_tokens = [
-            [3223, 366, 257, 4961, 5081, 18870, 13, 50257, 15947, 0, 50257],
-            [3223, 366, 257, 4961, 5081, 18870, 13, 50257, 15947, 0, 50257, 37717, 220, 1353, 1677, 291, 13, 50257],
-            [37717, 220, 1353, 1677, 291, 13, 50257, 15947, 0, 50257],
-        ]
-        for tokenized_chat, expected_tokens in zip(tokenized_chats, expected_tokens):
-            self.assertListEqual(tokenized_chat, expected_tokens)