| | --- |
| | 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} |
| | } |
| | ``` |
