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1import joblib
2from huggingface_hub import snapshot_download
3
4# Download model
5local_dir = snapshot_download("jruffle/classical_transcriptome_16d")
6model = joblib.load(f"{local_dir}/model.joblib")
7
8# Model contains: 'pca', 'umap', 'robust_scaler', 'gene_order'
9
10# Use UMAP transform on new data:
11new_embeddings = model['umap'].transform(preprocessed_new_data)