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:
- da4333e85cd067fee9623bf04cd7e635308aed665dcdbc222796d3c0fe7df642
- Size of remote file:
- 78.9 MB
- SHA256:
- 1cadcee11fbb213e507f6c9a8241edbd7128f0f9ac76d6ab35dc5a80579fc898
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