yandex-research/tabpfn-finetuning
On Finetuning Tabular Foundation Models Paper Code
This tool helps data scientists and machine learning engineers improve the accuracy of predictions on tabular datasets. You provide your existing tabular data, and it fine-tunes a powerful pre-trained model (TabPFNv2) to better fit your specific data, resulting in more accurate classification or regression outcomes.
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Use this if you are working with small to medium-sized tabular datasets and want to achieve state-of-the-art prediction accuracy by adapting a foundation model to your specific data.
Not ideal if your datasets exhibit significant gradual temporal shifts or have extremely rich feature sets, as traditional methods might still perform better in those specific scenarios.
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Sep 03, 2025
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