TabICLv2: A better, faster, scalable, and open tabular foundation model

Installation

pip install tabicl

The source code is available at GitHub - soda-inria/tabicl.

Citation

If you use TabICL for research purposes, please cite our papers for TabICL and TabICLv2:

@inproceedings{qu2025tabicl,
  title={Tab{ICL}: {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 Le Morvan, Marine},
  booktitle={International Conference on Machine Learning},
  year={2025}
}

@article{qu2026tabiclv2,
  title={{TabICLv2}: {A} better, faster, scalable, and open tabular foundation model},
  author={Qu, Jingang and Holzm{\"u}ller, David and Varoquaux, Ga{\"e}l and Le Morvan, Marine},
  journal={arXiv preprint arXiv:2602.11139},
  year={2026}
}