Update README.md

README.md

@@ -1,13 +1,30 @@
 ---
 license: bsd-3-clause
 pipeline_tag: tabular-classification
+library_name: tabicl
 ---
 
 # TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
 
-TabICL is an in-context learning classification model designed for tabular data like TabPFN, 
-but is pre-trained on much larger datasets (up to 60K samples) and can handle even larger datasets
+TabICL is a scalable tabular foundation model designed for classification tasks. Pre-trained on synthetic datasets with up to 60K samples, it can handle even larger datasets
 thanks to its memory-efficient inference.
 
+
+## Installation
+```bash
+pip install tabicl
+```
+
+The source code is available at [GitHub - soda-inria/tabicl](https://github.com/soda-inria/tabicl).
+
+## Citation
 If you use TabICL for research purposes, 
-please cite our **[paper](https://arxiv.org/abs/2502.05564)**.
+please cite our **[paper](https://arxiv.org/abs/2502.05564)**:
+```bibtex
+@article{qu2025tabicl,
+  title={TabICL: A Tabular Foundation Model for In-Context Learning on Large Data},
+  author={Qu, Jingang and Holzm{\"u}ller, David and Varoquaux, Ga{\"e}l and Morvan, Marine Le},
+  journal={arXiv preprint arXiv:2502.05564},
+  year={2025}
+}
+```