Instructions to use Taykhoom/RiNALMo-micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/RiNALMo-micro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/RiNALMo-micro", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/RiNALMo-micro", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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```bibtex
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@article{penic2025_rinalmo,
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title={RiNALMo: general-purpose RNA language models can generalize well on structure prediction tasks},
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author={
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journal={Nature Communications},
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volume={16},
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pages={5671},
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```bibtex
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@article{penic2025_rinalmo,
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title={RiNALMo: general-purpose RNA language models can generalize well on structure prediction tasks},
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author={Penić, Rafael Josip and Vlašić, Tin and Huber, Roland G. and Wan, Yue and Šikić, Mile},
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journal={Nature Communications},
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volume={16},
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pages={5671},
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