save_pretrained: use tqdm when saving checkpoint shards from offloade…

…d params (huggingface#31856)

src/transformers/modeling_utils.py

@@ -2657,7 +2657,10 @@ def save_pretrained(
             ):
                 os.remove(full_filename)
         # Save the model
-        for shard_file, tensors in state_dict_split.filename_to_tensors.items():
+        filename_to_tensors = state_dict_split.filename_to_tensors.items()
+        if module_map:
+            filename_to_tensors = logging.tqdm(filename_to_tensors, desc="Saving checkpoint shards")
+        for shard_file, tensors in filename_to_tensors:
             shard = {tensor: state_dict[tensor] for tensor in tensors}
             # remake shard with onloaded parameters if necessary
             if module_map: