TabPFN v2: A Tabular Foundation Model TabPFN is a transformer based foundation model for tabular data that leverages prior data based learning to achieve strong performance on small tabular datasets without requiring task specific training. Installation Model Details Developed by: Prior Labs Model type: Transformer based foundation model for tabular data License: Prior Labs License (Apache 2.0 with additional attribution requirement) Paper: Published in Nature (January 2025) Repository: GitHub priorlabs/tabpfn 📚 Citation Quick Start 📚 For detailed usage examples and best practices, check out: Interactive Colab Tutorial Technical Requirements Python ≥ 3.9 PyTorch ≥ 2.1 scikit learn ≥ 1.0 Hardware: 16GB+ RAM, CPU (GPU optional) Checkpoints in this repository This repository hosts the production TabPFN v2 base checkpoints. Files matching the pattern tabpfn v2 classifier finetuned .ckpt are content identical aliases of the corresponding base checkpoints (e.g. tabpfn v2 classifier finetuned gn2p4bpt xp6f0iqb.ckpt is identical to tabpfn v2 classifier gn2p4bpt.ckpt ; tabpfn v2 classifier finetuned zk73skhh.ckpt is identical to tabpfn v2 classifier v2 default.ckpt ). The finetuned filena…
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