Instructions to use multimolecule/ernierna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/ernierna with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/ernierna") model = AutoModel.from_pretrained("multimolecule/ernierna") 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/ernierna") output = predictor("UAGCUUAUCAG<mask>CUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f677ee5b9cac3f0d7f36c564d81f3f152ce6b319229a200cdecbf284ac6fbd13
- Size of remote file:
- 345 MB
- SHA256:
- 2d13a274a18be0d16693e5442c0fad981b6f8cad2ad44509e8381ef7377f4327
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