diff --git a/examples/flax/language-modeling/t5_tokenizer_model.py b/examples/flax/language-modeling/t5_tokenizer_model.py
index 256519a99c..b55c2c95d9 100755
--- a/examples/flax/language-modeling/t5_tokenizer_model.py
+++ b/examples/flax/language-modeling/t5_tokenizer_model.py
@@ -46,12 +46,16 @@ class SentencePieceUnigramTokenizer(BaseTokenizer):
         )
         tokenizer.pre_tokenizer = pre_tokenizers.Sequence(
             [
-                pre_tokenizers.Metaspace(replacement=replacement, add_prefix_space="always" if add_prefix_space else "never"),
+                pre_tokenizers.Metaspace(
+                    replacement=replacement, add_prefix_space="always" if add_prefix_space else "never"
+                ),
                 pre_tokenizers.Digits(individual_digits=True),
                 pre_tokenizers.Punctuation(),
             ]
         )
-        tokenizer.decoder = decoders.Metaspace(replacement=replacement, add_prefix_space="always" if add_prefix_space else "never")
+        tokenizer.decoder = decoders.Metaspace(
+            replacement=replacement, add_prefix_space="always" if add_prefix_space else "never"
+        )
 
         tokenizer.post_processor = TemplateProcessing(
             single=f"$A {self.special_tokens['eos']['token']}",
diff --git a/src/transformers/convert_slow_tokenizer.py b/src/transformers/convert_slow_tokenizer.py
index c4313cfe11..88f9e5f19a 100644
--- a/src/transformers/convert_slow_tokenizer.py
+++ b/src/transformers/convert_slow_tokenizer.py
@@ -42,6 +42,7 @@ def import_protobuf(error_message=""):
     else:
         raise ImportError(PROTOBUF_IMPORT_ERROR.format(error_message))
 
+
 def _get_prepend_scheme(add_prefix_space: bool, original_tokenizer) -> str:
     if add_prefix_space:
         prepend_scheme = "always"
@@ -607,9 +608,7 @@ class SpmConverter(Converter):
 
     def pre_tokenizer(self, replacement, add_prefix_space):
         prepend_scheme = _get_prepend_scheme(add_prefix_space, self.original_tokenizer)
-        return pre_tokenizers.Metaspace(
-            replacement=replacement, prepend_scheme=prepend_scheme
-        )
+        return pre_tokenizers.Metaspace(replacement=replacement, prepend_scheme=prepend_scheme)
 
     def post_processor(self):
         return None