See https://huggingface.co/Prior-Labs/TabPFN-v2-reg/discussions/2
It seems that QuantileTransformer fails on big datasets with message The number of quantiles cannot be greater than the number of samples used, which means TabPFN is unusable for these bigger datasets even with ignore_pretraining_contraints=True. Seems to only happen on regression? (not sure)