# TabPFN Transcriptome 256D Model

Pre-computed TabPFN embeddings for transcriptomic data.

## Contents
- `model.joblib`: Model bundle with reference embeddings

## Usage
```python
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