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:
- bbe8e15428f8836e97348bbcda5ebb4f48053b41c4de45f28e6ea78cba68f809
- Size of remote file:
- 68.4 MB
- SHA256:
- cc7e5f725c3a941b68427eb4f87ffb790a38bb901f80d6a26d3a92f1bf3c8f1a
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