Instructions to use multimolecule/rnafm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/rnafm with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/rnafm") model = AutoModel.from_pretrained("multimolecule/rnafm") 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/rnafm") output = predictor("UAGCUUAUCAG<mask>CUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0b54138fdd6f49416ecf0306bc8afa3c44828a3600b59ef01ee90e92087c264
- Size of remote file:
- 398 MB
- SHA256:
- a0ff096b19510a0d2ef020c171611ce592a527a829c1a4ba29ffffe4422c35d4
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