jruffle/classical_samples_8d

CLASSICAL Model - samples mode - 8D

Pre-trained classical model for transcriptomic data compression.

Details

• Mode: samples-centric compression
• Dimensions: 8
• Training data: TRACERx lung cancer transcriptomics
• Created: 2026-01-09T20:52:22.284131

Usage

import joblib
from huggingface_hub import snapshot_download

# Download model
local_dir = snapshot_download("jruffle/classical_samples_8d")
model = joblib.load(f"{local_dir}/model.joblib")

# For classical models (PCA/UMAP):
# model contains: 'pca', 'umap', 'robust_scaler', 'gene_order'

# For TabPFN models:
# model contains: 'tabpfn_embedding', 'pca_final', 'input_scaler', etc.