Instructions to use multimolecule/sptransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/sptransformer with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/sptransformer") model = AutoModel.from_pretrained("multimolecule/sptransformer") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45f7dd108a3642416b5c06ccd9e7d1a2a31294adf7271ca076e50b228faa465f
- Size of remote file:
- 68.6 MB
- SHA256:
- ad80848d399031b003339a815e1cc510c5e03ff6f7f64e2dbdbae7870280c876
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