TabPFN Model - samples mode - 64D

Pre-trained TabPFN embedding model with UMAP reduction.

Details

  • Mode: samples-centric compression
  • Dimensions: 64
  • Training data: TRACERx lung cancer transcriptomics
  • Created: 2026-01-13T17:00:37.497635
  • Reduction method: UMAP (non-linear)

Usage

import joblib
from huggingface_hub import snapshot_download

local_dir = snapshot_download("jruffle/tabpfn_samples_64d")
model = joblib.load(f"{local_dir}/model.joblib")
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support