Update README.md

README.md

@@ -1,30 +1,30 @@
----
-license: cc-by-nc-4.0
-tags:
-  - emmi-ai
-
----
-
-## Model Details
-
-Emmi AI developed and released **Anchor-Branched Universal Physics Transformers** (AB-UPT) model for aerodynamics simulations. The model has been trained on DrivAerML dataset. 
-
-It is expected that the user will provide input geometry similar to the ones from the DrivAerML dataset.
-
-## Hot to use
-
-We provide a standalone GitHub repository with relevant tutorial code on how execute inference. The corresponding repository can be found here: https://github.com/Emmi-AI/AB-UPT
-
-## License
-
-**AB-UPT** is shared under the [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license.
-
-## Citation instructions
-```
-@article{alkin2025abupt,
-  title={{AB-UPT}: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers},
-  author={Benedikt Alkin and Maurits Bleeker and Richard Kurle and Tobias Kronlachner and Reinhard Sonnleitner and Matthias Dorfer and Johannes Brandstetter},
-  journal={arXiv preprint arXiv:2502.09692},
-  year={2025}
-}
+---
+license: cc-by-nc-4.0
+tags:
+  - emmi-ai
+
+---
+
+## Model Details
+
+Emmi AI developed and released **Anchor-Branched Universal Physics Transformers** (AB-UPT) model for aerodynamics simulations. The model has been trained on DrivAerML dataset. 
+
+It is expected that the user will provide input geometry similar to the ones from the DrivAerML dataset.
+
+## How to use
+
+We provide a standalone GitHub repository with relevant tutorial code on how execute inference. The corresponding repository can be found here: https://github.com/Emmi-AI/AB-UPT
+
+## License
+
+**AB-UPT** is shared under the [CC-BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) license.
+
+## Citation instructions
+```
+@article{alkin2025abupt,
+  title={{AB-UPT}: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers},
+  author={Benedikt Alkin and Maurits Bleeker and Richard Kurle and Tobias Kronlachner and Reinhard Sonnleitner and Matthias Dorfer and Johannes Brandstetter},
+  journal={arXiv preprint arXiv:2502.09692},
+  year={2025}
+}
 ```