[tokenizer] sanitize saved config (#21483)

* [tokenizer] sanitize saved config

* rm config["name_or_path"] test

src/transformers/tokenization_utils_base.py

@@ -2153,6 +2153,10 @@ class PreTrainedTokenizerBase(SpecialTokensMixin, PushToHubMixin):
         if self._auto_class is not None:
             custom_object_save(self, save_directory, config=tokenizer_config)
 
+        # remove private information
+        if "name_or_path" in tokenizer_config:
+            tokenizer_config.pop("name_or_path")
+
         with open(tokenizer_config_file, "w", encoding="utf-8") as f:
             out_str = json.dumps(tokenizer_config, indent=2, sort_keys=True, ensure_ascii=False) + "\n"
             f.write(out_str)

tests/models/auto/test_tokenization_auto.py

@@ -230,8 +230,6 @@ class AutoTokenizerTest(unittest.TestCase):
 
         # Check the class of the tokenizer was properly saved (note that it always saves the slow class).
         self.assertEqual(config["tokenizer_class"], "BertTokenizer")
-        # Check other keys just to make sure the config was properly saved /reloaded.
-        self.assertEqual(config["name_or_path"], SMALL_MODEL_IDENTIFIER)
 
     def test_new_tokenizer_registration(self):
         try: