| 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} | |
| } | |
| ``` |