Instructions to use multimolecule/hyenadna-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/hyenadna-small with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/hyenadna-small") model = AutoModel.from_pretrained("multimolecule/hyenadna-small") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11b1410d6a403e19d281048e15ca3c6861bd767d3077f0b6e95106262f17fc36
- Size of remote file:
- 6.59 MB
- SHA256:
- d78b027a5bb47a2c0b6bd4ff2f244f1da06ef46e90f1955c6365cc6aecd709e7
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