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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. | |