diff --git a/intermediate_source/torchrec_intro_tutorial.py b/intermediate_source/torchrec_intro_tutorial.py
index c4fdfc1833a..5f9464decd1 100644
--- a/intermediate_source/torchrec_intro_tutorial.py
+++ b/intermediate_source/torchrec_intro_tutorial.py
@@ -917,7 +917,7 @@ def _wait_impl(self) -> torch.Tensor:
 
 ######################################################################
 # Inference
-# ~~~~~~~~~~~~
+# ~~~~~~~~~
 # 
 # Now that we are able to train distributed embeddings, how can we take
 # the trained model and optimize it for inference? Inference is typically