Instructions to use multimolecule/spotrna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/spotrna with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/spotrna") model = AutoModel.from_pretrained("multimolecule/spotrna") 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/spotrna") output = predictor("UAGCUUAUCAGACUGAUGUUGA") print(output["secondary_structure"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f184e75ae1b246711ada3c13391c88de6ea731a00bf8c047e4b856989fe0a30
- Size of remote file:
- 70.2 MB
- SHA256:
- da09e933f5a263d47808f91885d6988f1a76ff705f89bebfd03c6273e6c7f395
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