Instructions to use multimolecule/splicebert.510 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/splicebert.510 with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/splicebert.510") model = AutoModel.from_pretrained("multimolecule/splicebert.510") 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/splicebert.510") output = predictor("UAGCUUAUCAG<mask>CUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3993ca73d95f6f331182d77dc74caf1ff9f5bd1ae73ea47bb2c0caae59b60df9
- Size of remote file:
- 77.9 MB
- SHA256:
- 1a842ea941cc262e09e55ec2752019d4180d13396c2b65e0d4260779343534a1
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