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TabPFN
AI Foundation model for tabular data
TabPFN
TabPFN (Tabular Prior-data Fitted Network) is a machine learning model for tabular datasets proposed in 2022. It uses a transformer architecture. It is intended for supervised classification and regression analysis on tabular datasets, particularly focusing on small- to medium-sized datasets. The latest version, TabPFN-3.5, was released in September 2026. It uses a single model for both classification and regression and is recommended by its developers for datasets with up to one million rows and 6,000 features.
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