Improve model card with Robot Learning Tutorial context

This PR improves the model card for `smolvla` by providing context regarding its role in the "[Robot Learning: A Tutorial](https://huggingface.co/papers/2510.12403)" paper.

Specifically, it adds:
- A clear statement that this model is an example from the tutorial.
- Links to the tutorial paper, its GitHub repository, and its Hugging Face Space (project page).
- Detailed license information in the "Model Details" section, distinguishing between the model's license, the tutorial's content license, and the tutorial's code example license.

All existing model-specific information and usage instructions are preserved. The formatting of the bash code snippets has been maintained as per the original content, ensuring correct rendering.

README.md

@@ -13,12 +13,13 @@ tags:
 
 # Model Card for smolvla
 
-<!-- Provide a quick summary of what the model is/does. -->
+This `smolvla` policy is a ready-to-use example from the tutorial paper [Robot Learning: A Tutorial](https://huggingface.co/papers/2510.12403).
 
+**Project Page:** https://huggingface.co/spaces/lerobot/robot-learning-tutorial
+**Code:** https://github.com/fracapuano/robot-learning-tutorial
 
 [SmolVLA](https://huggingface.co/papers/2506.01844) is a compact, efficient vision-language-action model that achieves competitive performance at reduced computational costs and can be deployed on consumer-grade hardware.
 
-
 This policy has been trained and pushed to the Hub using [LeRobot](https://github.com/huggingface/lerobot).
 See the full documentation at [LeRobot Docs](https://huggingface.co/docs/lerobot/index).
 
@@ -60,4 +61,9 @@ Prefix the dataset repo with **eval\_** and supply `--policy.path` pointing to a
 
 ## Model Details
 
-* **License:** apache-2.0
+*   **Model License:** apache-2.0
+*   **Related Tutorial Paper:** [Robot Learning: A Tutorial](https://huggingface.co/papers/2510.12403)
+*   **Tutorial Project Page:** https://huggingface.co/spaces/lerobot/robot-learning-tutorial
+*   **Tutorial Code:** https://github.com/fracapuano/robot-learning-tutorial
+*   **Tutorial Content License:** The written content of the tutorial is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).
+*   **Tutorial Code Examples License:** Source code examples in the tutorial's `snippets/` directory are licensed under the [MIT License](https://opensource.org/licenses/MIT).