Instructions to use multimolecule/rnamsm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/rnamsm with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/rnamsm") model = AutoModel.from_pretrained("multimolecule/rnamsm") 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/rnamsm") output = predictor("UAGCUUAUCAG<mask>CUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55e997ac66780fa79e4d6bd82e78dbab8d55f84b1a973f8cb40b44865ebff6ab
- Size of remote file:
- 384 MB
- SHA256:
- cdba8357c89ec271b6737f00eae9006635cfe91ef60ba31f051b3dd691b29e6f
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