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--- |
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license: bsd-3-clause |
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pipeline_tag: tabular-classification |
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library_name: tabicl |
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--- |
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# TabICL: A Tabular Foundation Model for In-Context Learning on Large Data |
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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 |
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thanks to its memory-efficient inference. |
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## Installation |
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```bash |
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pip install tabicl |
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``` |
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The source code is available at [GitHub - soda-inria/tabicl](https://github.com/soda-inria/tabicl). |
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## Citation |
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If you use TabICL for research purposes, |
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please cite our **[paper](https://arxiv.org/abs/2502.05564)**: |
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```bibtex |
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@article{qu2025tabicl, |
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title={TabICL: A Tabular Foundation Model for In-Context Learning on Large Data}, |
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author={Qu, Jingang and Holzm{\"u}ller, David and Varoquaux, Ga{\"e}l and Morvan, Marine Le}, |
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journal={arXiv preprint arXiv:2502.05564}, |
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year={2025} |
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} |
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``` |
