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GB.RNA-1.6B-mrna-expression-level-pc3
genbio-ai/GB.RNA-1.6B-mrna-expression-level-pc3
GB.RNA-1.6B-mrna-expression-level-pc3 is a machine learning model from genbio-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
10-fold cross-validation fully fine-tuned checkpoints for mRNA expression level prediction (pc3).
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.ckpt193 GB · 100%
At a glance
- License
- other
- Access
- Public
- Created
- Nov 26, 2024
- Updated
- Jul 25, 2026
- SHA
- 6cbe1782
Base models
Datasets
Model card
From the Hugging Face model README
10-fold cross-validation fully fine-tuned checkpoints for mRNA expression level prediction (pc3).
How to Use
Download model
from huggingface_hub import snapshot_download
from pathlib import Path
model_name = "genbio-ai/GB.RNA-1.6B-mrna-expression-level-pc3"
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
from modelgenerator.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.transform({"sequences": ["ACGT", "AGCT"]})
logits = model(collated_batch)
print(logits)
- License
- other
- Created
- Nov 26, 2024
- Updated
- Jul 25, 2026