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:
- e84b42359633f05599392acb82821afe0197b08d86a3c4dbe4243339f20fe1b7
- Size of remote file:
- 77.8 MB
- SHA256:
- 22d001824b15fd9cf8a9c1809e6fe60c6220a7feb44e85d342f14e1f422304d2
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