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Release 0.1.0
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---
base_model: WGLab/PoreFM-RNA
tags:
- porefm
- pytorch
- nanopore
- rna
- zero-shot
---
# PoreFM-RNA zero-shot
Canonical-null PoreFM model for zero-shot detection of deviations from canonical Oxford Nanopore RNA signals.
Model version: **0.1.0**. Chemistry: **RNA004**. Embedding dimension: **512**.
| File | Contents |
|---|---|
| `RNA004_zero-shot.pt` | Complete canonical-null model, calibration, and whitening in one inference bundle. |
Model configuration and preprocessing are embedded in the checkpoints. Setup and usage are documented in the PoreFM code repository.
`manifest.json` records artifact identities and tensor fingerprints. `SHA256SUMS` verifies checkpoint downloads. Tensor fingerprints are independent of descriptive metadata; file hashes identify exact bytes. Documentation-only changes leave the model version unchanged.