# AIDO.RNA 1.6B

AIDO.RNA is an RNA foundation model trained on 42 million non-coding RNA sequences at single-nucleotide resolution. It achieves state-of-the-art performance on a comprehensive set of tasks, including RNA secondary structure prediction, mRNA-related tasks, RNA function prediction tasks, and RNA inverse folding.

<img src="https://cdn-uploads.huggingface.co/production/uploads/63008d4bc1e149ceaff724a3/mNqn5SKQFHxSby3E2dosE.png" alt="description" style="width:80%; height:auto;">


## How to Use

### Sequence-level Regression


### Sequence-level Classification
```
import torch
from genbio_finetune.tasks import SequenceClassification
from genbio_finetune.models import MLPPoolAdapter
model = SequenceClassification.from_config({"model.backbone": "rnafm",
                                            "model.n_classes": 2,
                                            "model.adapter": MLPPoolAdapter,
                                            })
collated_batch = model.collate({"sequences": ["ACGT", "ACGT"]})
logits = model(collated_batch)
print(logits)
print(torch.argmax(logits, dim=-1))
```

### Pairwise Token-level Classification
TODO


## Citation
TODO