Instructions to use multimolecule/splicebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/splicebert with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/splicebert") model = AutoModel.from_pretrained("multimolecule/splicebert") 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") output = predictor("UAGCUUAUCAG<mask>CUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49cf1c84b8d160cea7f5102118fb6144cedc0d12435e874fea35919d20bd3ec4
- Size of remote file:
- 78.9 MB
- SHA256:
- 4f4a68cf091a76eb0b643f38bb87b82335a5f2540b8b1fb5c9b9fa36d07474df
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