Update README.md

README.md

@@ -4,4 +4,26 @@ datasets:
 base_model:
 - genbio-ai/rnafm-1.6b
 ---
-10-fold cross-validation fully fine-tuned checkpoints for mRNA expression level prediction (pc3).
+10-fold cross-validation fully fine-tuned checkpoints for mRNA expression level prediction (pc3).
+
+## How to Use
+### Download model
+```python
+from huggingface_hub import snapshot_download
+from pathlib import Path
+
+model_name = "genbio-ai/rnafm-1.6b-mrna-expression-level-pc3-ckpt"
+genbio_models_path = Path.home().joinpath('genbio_models', model_name)
+genbio_models_path.mkdir(parents=True, exist_ok=True)
+snapshot_download(repo_id=model_name, local_dir=genbio_models_path)
+```
+### Load model for inference
+```python
+from genbio_finetune.tasks import SequenceRegression
+
+ckpt_path = genbio_models_path.joinpath('fold0', 'model.ckpt')
+model = SequenceRegression.load_from_checkpoint(ckpt_path, strict_loading=False).eval()
+
+collated_batch = model.collate({"sequences": ["ACGT", "AGCT"]})
+logits = model(collated_batch)
+print(logits)