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@@ -7,7 +7,7 @@ pipeline_tag: tabular-classification
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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 code.
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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,
9
  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)**.