Instructions to use multimolecule/mrnafm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/mrnafm with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/mrnafm") model = AutoModel.from_pretrained("multimolecule/mrnafm") inputs = tokenizer("UAGCUUAUCAGACUGAUUG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_stateimport multimolecule from transformers import pipeline predictor = pipeline("fill-mask", model="multimolecule/mrnafm") output = predictor("UAGCUUAUCAGACUG<mask>UUG") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68c89fdd745a7fd606e29a916eea63b6e211165d4f46a7fa8c73c6caf98412b5
- Size of remote file:
- 957 MB
- SHA256:
- c10a2d52f3a13513597e031df9f9efaeb235be3b192a96e347564d634d8c8de5
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