+- Released TabPFN-2.5, a strong improvement over TabPFNv2 scaling to datasets with up to 50,000 samples and 2,000 features (more details [here](https://priorlabs.ai/technical-reports/tabpfn-2-5-model-report)). This is used by default when using package version 6.0.0 and higher. To use the previous version, use `from tabpfn.constants import ModelVersion; TabPFNClassifier.create_default_for_version(ModelVersion.V2)`. Note that TabPFN-2.5 is released under a new [TABPFN-2.5 Non-Commercial License v1.0 license](https://huggingface.co/Prior-Labs/tabpfn_2_5/blob/main/LICENSE).
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