Fix a typo in tokenizer documentation (#28118)

src/transformers/models/jukebox/tokenization_jukebox.py

@@ -185,7 +185,7 @@ class JukeboxTokenizer(PreTrainedTokenizer):
 
     def _tokenize(self, lyrics):
         """
-        Converts a string in a sequence of tokens (string), using the tokenizer. Split in words for word-based
+        Converts a string into a sequence of tokens (string), using the tokenizer. Split in words for word-based
         vocabulary or sub-words for sub-word-based vocabularies (BPE/SentencePieces/WordPieces).
 
         Do NOT take care of added tokens. Only the lyrics are split into character for the character-based vocabulary.

src/transformers/models/wav2vec2/tokenization_wav2vec2.py

@@ -281,7 +281,7 @@ class Wav2Vec2CTCTokenizer(PreTrainedTokenizer):
 
     def _tokenize(self, text, **kwargs):
         """
-        Converts a string in a sequence of tokens (string), using the tokenizer.
+        Converts a string into a sequence of tokens (string), using the tokenizer.
         """
         if self.do_lower_case:
             text = text.upper()

src/transformers/models/wav2vec2_phoneme/tokenization_wav2vec2_phoneme.py

@@ -247,7 +247,7 @@ class Wav2Vec2PhonemeCTCTokenizer(PreTrainedTokenizer):
 
     def _tokenize(self, text, **kwargs):
         """
-        Converts a string in a sequence of tokens (string), using the tokenizer.
+        Converts a string into a sequence of tokens (string), using the tokenizer.
         """
 
         # make sure whitespace is stripped to prevent <unk>

src/transformers/tokenization_utils.py

@@ -540,7 +540,7 @@ class PreTrainedTokenizer(PreTrainedTokenizerBase):
 
     def tokenize(self, text: TextInput, **kwargs) -> List[str]:
         """
-        Converts a string in a sequence of tokens, using the tokenizer.
+        Converts a string into a sequence of tokens, using the tokenizer.
 
         Split in words for word-based vocabulary or sub-words for sub-word-based vocabularies
         (BPE/SentencePieces/WordPieces). Takes care of added tokens.
@@ -620,7 +620,7 @@ class PreTrainedTokenizer(PreTrainedTokenizerBase):
 
     def _tokenize(self, text, **kwargs):
         """
-        Converts a string in a sequence of tokens (string), using the tokenizer. Split in words for word-based
+        Converts a string into a sequence of tokens (string), using the tokenizer. Split in words for word-based
         vocabulary or sub-words for sub-word-based vocabularies (BPE/SentencePieces/WordPieces).
 
         Do NOT take care of added tokens.

src/transformers/tokenization_utils_base.py

@@ -2515,7 +2515,7 @@ class PreTrainedTokenizerBase(SpecialTokensMixin, PushToHubMixin):
 
     def tokenize(self, text: str, pair: Optional[str] = None, add_special_tokens: bool = False, **kwargs) -> List[str]:
         """
-        Converts a string in a sequence of tokens, replacing unknown tokens with the `unk_token`.
+        Converts a string into a sequence of tokens, replacing unknown tokens with the `unk_token`.
 
         Args:
             text (`str`):