---
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 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)**:
```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}
}
```