Link to PyTorch native training example.
diff --git a/docs/website/docs/getting-started/pytorch.md b/docs/website/docs/getting-started/pytorch.md
index e3c787e..200868d 100644
--- a/docs/website/docs/getting-started/pytorch.md
+++ b/docs/website/docs/getting-started/pytorch.md
@@ -105,6 +105,13 @@
training with it, and running inference on it
[here](https://github.com/iree-org/iree-torch/blob/main/examples/regression.py).
+## Native / On-device Training
+
+A small (~100-250KB), self-contained binary can be built for deploying to
+resource-constrained environments. An example illustrating this can be found in
+[this example](https://github.com/iree-org/iree-torch/tree/main/examples/native_training).
+This binary runs a model without a Python interpreter.
+
## Samples
| Colab notebooks | |
@@ -114,3 +121,4 @@
| Example scripts |
| -- |
| [Basic Inference and Training Example](https://github.com/iree-org/iree-torch/blob/main/examples/regression.py) |
+| [Native On-device Training Example](https://github.com/iree-org/iree-torch/tree/main/examples/native_training) |
