diff --git a/requirements.txt b/requirements.txt
index 3c11ac32..a03dae85 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,4 +3,4 @@ numpy
 torch
 tqdm
 more-itertools
-tiktoken==0.3.3
+tiktoken
diff --git a/tests/test_tokenizer.py b/tests/test_tokenizer.py
index 09d0351e..be424e5f 100644
--- a/tests/test_tokenizer.py
+++ b/tests/test_tokenizer.py
@@ -1,7 +1,17 @@
+import pytest
+
 from whisper.tokenizer import get_tokenizer
 
 
-def test_tokenizer():
+@pytest.mark.parametrize("multilingual", [True, False])
+def test_tokenizer(multilingual):
+    tokenizer = get_tokenizer(multilingual=False)
+    assert tokenizer.sot in tokenizer.sot_sequence
+    assert len(tokenizer.all_language_codes) == len(tokenizer.all_language_tokens)
+    assert all(c < tokenizer.timestamp_begin for c in tokenizer.all_language_tokens)
+
+
+def test_multilingual_tokenizer():
     gpt2_tokenizer = get_tokenizer(multilingual=False)
     multilingual_tokenizer = get_tokenizer(multilingual=True)
 
@@ -20,5 +30,5 @@ def test_split_on_unicode():
     tokens = [8404, 871, 287, 6, 246, 526, 3210, 20378]
     words, word_tokens = multilingual_tokenizer.split_tokens_on_unicode(tokens)
 
-    assert words == [" elle", " est", " l", "'", "�", "é", "rit", "oire"]
+    assert words == [" elle", " est", " l", "'", "\ufffd", "é", "rit", "oire"]
     assert word_tokens == [[8404], [871], [287], [6], [246], [526], [3210], [20378]]