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Browse files- README.md +25 -0
- model.joblib +3 -0
README.md
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# TabPFN Transcriptome 256D Model
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Pre-computed TabPFN embeddings for transcriptomic data.
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## Contents
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- `model.joblib`: Model bundle with reference embeddings
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## Usage
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```python
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import joblib
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from huggingface_hub import hf_hub_download
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# Download model
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model_path = hf_hub_download(repo_id="jruffle/tabpfn_transcriptome_256d", filename="model.joblib")
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model = joblib.load(model_path)
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# Access embeddings
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embeddings = model['reference_embeddings']
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```
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## Details
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- Mode: transcriptome
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- Dimensions: 256
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- Samples: 2405
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- Complete coverage: All samples have TabPFN embeddings
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model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:41d7c4f5845d8d530cd5716257d6647fc2ff73826b00efd8e1a58b556373c0dd
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size 4975559
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