---
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.