Instructions to use yangheng/rnafm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use yangheng/rnafm with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("yangheng/rnafm") model = AutoModel.from_pretrained("yangheng/rnafm") 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/rnafm") output = predictor("UAGC<mask>UAUCAGACUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7d12e38d0a85761f5944342960f32df383b0e0c05747774046f2e35aaf7b218
- Size of remote file:
- 400 MB
- SHA256:
- 1cf0c468e1dee929a7f3181defa0fc75dde7cc2a744080e47823b4a9adc10a53
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