diff --git a/examples/pytorch/summarization/run_summarization_no_trainer.py b/examples/pytorch/summarization/run_summarization_no_trainer.py
index b75b4bf7d4c..89365b4de4e 100644
--- a/examples/pytorch/summarization/run_summarization_no_trainer.py
+++ b/examples/pytorch/summarization/run_summarization_no_trainer.py
@@ -573,12 +573,9 @@ def main():
     args.num_train_epochs = math.ceil(args.max_train_steps / num_update_steps_per_epoch)
 
     # Figure out how many steps we should save the Accelerator states
-    if hasattr(args.checkpointing_steps, "isdigit"):
-        checkpointing_steps = args.checkpointing_steps
-        if args.checkpointing_steps.isdigit():
-            checkpointing_steps = int(args.checkpointing_steps)
-    else:
-        checkpointing_steps = None
+    checkpointing_steps = args.checkpointing_steps
+    if checkpointing_steps is not None and checkpointing_steps.isdigit():
+        checkpointing_steps = int(checkpointing_steps)
 
     # We need to initialize the trackers we use, and also store our configuration.
     # The trackers initializes automatically on the main process.