fix: typo spelling grammar (#13212)

* fix: typo spelling grammar

* fix: make fixup

src/transformers/tokenization_utils_base.py

@@ -1375,7 +1375,7 @@ INIT_TOKENIZER_DOCSTRING = r"""
           high-level keys being the ``__init__`` keyword name of each vocabulary file required by the model, the
           low-level being the :obj:`short-cut-names` of the pretrained models with, as associated values, the
           :obj:`url` to the associated pretrained vocabulary file.
-        - **max_model_input_sizes** (:obj:`Dict[str, Optinal[int]]`) -- A dictionary with, as keys, the
+        - **max_model_input_sizes** (:obj:`Dict[str, Optional[int]]`) -- A dictionary with, as keys, the
           :obj:`short-cut-names` of the pretrained models, and as associated values, the maximum length of the sequence
           inputs of this model, or :obj:`None` if the model has no maximum input size.
         - **pretrained_init_configuration** (:obj:`Dict[str, Dict[str, Any]]`) -- A dictionary with, as keys, the
@@ -1785,7 +1785,7 @@ class PreTrainedTokenizerBase(SpecialTokensMixin, PushToHubMixin):
                 config = AutoConfig.from_pretrained(pretrained_model_name_or_path)
                 config_tokenizer_class = config.tokenizer_class
             except (OSError, ValueError, KeyError):
-                # skip if an error occured.
+                # skip if an error occurred.
                 config = None
             if config_tokenizer_class is None:
                 # Third attempt. If we have not yet found the original type of the tokenizer,