Instructions to use multimolecule/rinalmo-giga-ss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/rinalmo-giga-ss with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/rinalmo-giga-ss") model = AutoModel.from_pretrained("multimolecule/rinalmo-giga-ss") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_stateimport multimolecule from transformers import pipeline predictor = pipeline("rna-secondary-structure", model="multimolecule/rinalmo-giga-ss") output = predictor("UAGCUUAUCAGACUGAUGUUGA") print(output["secondary_structure"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8825cfbe40d28e58ed88333266ad49666d25b7f404009dcf998f433a54b1f58
- Size of remote file:
- 2.6 GB
- SHA256:
- 4c8cd10162e7a0abbf361d3c3b17ef21326007ea25f4281bedf09b6b33f7699f
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