Train model using TabPFN as a base line or upper bound

[DJCordhose]

Model seems to be a transformer, so probably not a good idea to bring it into production (too hungry for resources), but it should be tried out as a baseline / upper bound because the paper claims it is better than SOTA boosted trees.

• https://www.automl.org/tabpfn-a-transformer-that-solves-small-tabular-classification-problems-in-a-second/
• https://twitter.com/FrankRHutter/status/1583410845307977733
• Demo Notebook: https://colab.research.google.com/drive/194mCs6SEPEW6C0rcP7xWzcEtt1RBc8jJ#scrollTo=OBXN4152JFAO