Update comment in modeling_utils.py (#31299)

src/transformers/modeling_utils.py

@@ -3570,7 +3570,7 @@ def from_pretrained(
 
         # We'll need to download and cache each checkpoint shard if the checkpoint is sharded.
         if is_sharded:
-            # rsolved_archive_file becomes a list of files that point to the different checkpoint shards in this case.
+            # resolved_archive_file becomes a list of files that point to the different checkpoint shards in this case.
             resolved_archive_file, sharded_metadata = get_checkpoint_shard_files(
                 pretrained_model_name_or_path,
                 resolved_archive_file,