Update README.md

README.md

@@ -44,10 +44,18 @@ SMARTIES is a generic and versatile FM lifting sensor-dependent efforts and enab
   <img src="imgs/model_fig.png" alt="SMARTIES Model Architecture" width="700"/>
 </p>
 
-> **ℹ️ Note:**
-> 
-> **This repository contains the model weights of SMARTIES (ViT-L).**  
-> For usage instructions, dataset details, and full documentation, please visit the [SMARTIES GitHub page](https://github.com/gsumbul/SMARTIES). The details of SMARTIES are described in our paper, available on [arXiv](https://arxiv.org/abs/2506.19585). 
+This repository contains the model weights of SMARTIES (ViT-L). 
+
+## 🧩 Using SMARTIES
+
+SMARTIES is designed to be flexible and can be easily adapted to new datasets and sensors. You can easily use SMARTIES with a single line of code with Hugging Face transformer interface:
+```python
+model = transformers.AutoModel.from_pretrained(
+    "gsumbul/SMARTIES-v1-ViT-L",
+    trust_remote_code=True
+)
+```
+[A Jupyter notebook](https://github.com/gsumbul/SMARTIES/blob/main/SMARTIES_huggingface.ipynb) is provided in [SMARTIES GitHub page](https://github.com/gsumbul/SMARTIES) to show in detail how to use pretrained model weights. The details of SMARTIES are described in our paper, available on [arXiv](https://arxiv.org/abs/2506.19585).
 
 ## 📣 Attribution
 If you use SMARTIES, please cite the paper: