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