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README.md
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TabICL is an in-context learning classification model designed for tabular data like TabPFN,
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but is pre-trained on much larger datasets (up to 60K samples) and can handle even larger datasets
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thanks to its memory-efficient inference
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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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TabICL is an in-context learning classification model designed for tabular data like TabPFN,
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but is pre-trained on much larger datasets (up to 60K samples) and can handle even larger datasets
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+
thanks to its memory-efficient inference.
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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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