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@@ -4,4 +4,29 @@ datasets:
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  base_model:
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  - genbio-ai/rnafm-1.6b
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  ---
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- LoRA fine-tuned checkpoint for splice site prediction.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  base_model:
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  - genbio-ai/rnafm-1.6b
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  ---
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+ LoRA fine-tuned checkpoint for splice site prediction.
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+
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+ ## How to Use
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+ ### Download model
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ from pathlib import Path
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+
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+ model_name = "genbio-ai/rnafm-1.6b-csp-acceptor-ckpt"
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+ genbio_models_path = Path.home().joinpath('genbio_models', model_name)
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+ genbio_models_path.mkdir(parents=True, exist_ok=True)
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+ snapshot_download(repo_id=model_name, local_dir=genbio_models_path)
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+ ```
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+ ### Load model for inference
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+ ```python
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+ import torch
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+ from genbio_finetune.tasks import SequenceClassification
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+
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+ ckpt_path = genbio_models_path.joinpath('model.ckpt')
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+ model = SequenceClassification.load_from_checkpoint(ckpt_path, strict_loading=False).eval()
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+
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+ collated_batch = model.collate({"sequences": ["ACGT", "AGCT"]})
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+ logits = model(collated_batch)
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+ print(logits)
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+ print(torch.argmax(logits, dim=-1))
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+ ```