Instructions to use multimolecule/ribonanzanet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/ribonanzanet with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/ribonanzanet") model = AutoModel.from_pretrained("multimolecule/ribonanzanet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61a64eacc09742befc35869f150733df43f31d0ad859a766335ee3921ddba555
- Size of remote file:
- 45.4 MB
- SHA256:
- 2a3a58af81126ff466384bfcf1ecbbb5bc4ea69708a920faf1786263e244a548
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.