Exploring TabPFN as a foundation model for tabular data

TabPFN is a transformer-based foundation model that brings a pretraining-first approach to tabular data, reducing the need to retrain models for every new dataset. The latest TabPFN-2.5 release scales to larger datasets and shows strong performance out of the box in a Kaggle rainfall prediction task.