Instructions to use yangheng/rnamsm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use yangheng/rnamsm with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("yangheng/rnamsm") model = AutoModel.from_pretrained("yangheng/rnamsm") inputs = tokenizer("UAGCAUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_stateimport multimolecule from transformers import pipeline predictor = pipeline("fill-mask", model="yangheng/rnamsm") output = predictor("UAGC<mask>UAUCAGACUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4b220423332b93b7d52b4c7ee5ebb4018cc69c262f89ae9ee6df84c43d8a327
- Size of remote file:
- 386 MB
- SHA256:
- 13994affb8777940aaa12273ad9196761528edd971b4f22bc7c322be8870c93a
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