Instructions to use multimolecule/mmsplice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/mmsplice with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/mmsplice") model = AutoModel.from_pretrained("multimolecule/mmsplice") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41180daff87ecdbb757d7a9a7688dbdeccbdb3eba84607a439e83f5e992234ab
- Size of remote file:
- 250 kB
- SHA256:
- 9995f2db2f47148c83aaa74619e38a8f3d854529179ca4333aa37edb1a756315
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