diff --git a/.vscode/launch.json b/.vscode/launch.json
index cf9abdc..bc3cb5f 100644
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -17,7 +17,7 @@
         // "--ckpt_path",
         // "${workspaceFolder}/lightning_logs/version_264/checkpoints/epoch=9-st&ep=1000.ckpt",
         "--data.num_workers",
-        "0",
+        "1",
         "--trainer.benchmark",
         "false",
         "--trainer.num_sanity_val_steps",
diff --git a/README.md b/README.md
index 5408c5b..e0ff277 100644
--- a/README.md
+++ b/README.md
@@ -28,6 +28,17 @@ Start inference on images:
 python src/main.py predict --ckpt_path <path_to_checkpoint>
 ```
 
+Quick and dirty way to export to `.onnx`:
+```python
+>>> from src.module import DETR
+>>> checkpoint = "<path_to_checkpoint>"
+>>> model = DETR.load_from_checkpoint(checkpoint)
+>>> model.net.save_pretrained("hugginface_checkpoint")
+```
+```bash
+python -m transformers.onnx --model=hugginface_checkpoint onnx_export/
+```
+
 ## License
 
 Distributed under the [MIT](https://choosealicense.com/licenses/mit/) license. \