metadata
base_model: WGLab/PoreFM-RNA
tags:
- porefm
- pytorch
- nanopore
- rna
- supervised-classifier
PoreFM-RNA m6A / Inosine
Supervised PoreFM classifier for Oxford Nanopore RNA modification detection.
Model version: 0.1.0. Chemistry: RNA004. Embedding dimension: 512.
| File | Contents |
|---|---|
model.pt |
Complete backbone and classification head with preprocessing and modification-tag defaults. |
Class order: A, m6A, Ino.
Saved BAM-tag defaults: base A; modification codes a, 17596, corresponding to m6A, Ino.
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.