Instructions to use multimolecule/rinalmo-giga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/rinalmo-giga with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/rinalmo-giga") model = AutoModel.from_pretrained("multimolecule/rinalmo-giga") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_stateimport multimolecule from transformers import pipeline predictor = pipeline("fill-mask", model="multimolecule/rinalmo-giga") output = predictor("UAGCUUAUCAG<mask>CUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 257000c0f0d389ea241e07fe9442f5201c9629bfeb55ac5ad845005b93336ad5
- Size of remote file:
- 2.6 GB
- SHA256:
- 489e546f0613703832c398ed66dcb58d55860596b2042b3f995e21d2517b5428
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