jruffle
/

tabpfn_transcriptome_256d

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TabPFN Transcriptome 256D Model

Pre-computed TabPFN embeddings for transcriptomic data.

Contents

model.joblib: Model bundle with reference embeddings

Usage

import joblib
from huggingface_hub import hf_hub_download

# Download model
model_path = hf_hub_download(repo_id="jruffle/tabpfn_transcriptome_256d", filename="model.joblib")
model = joblib.load(model_path)

# Access embeddings
embeddings = model['reference_embeddings']

Details

Mode: transcriptome
Dimensions: 256
Samples: 2405
Complete coverage: All samples have TabPFN embeddings

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