Instructions to use multimolecule/hyenadna-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/hyenadna-large with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/hyenadna-large") model = AutoModel.from_pretrained("multimolecule/hyenadna-large") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 737424c21bea67402a1ae7c9f27e5edd0c75e99f8d3763be1a9371b82c0705ed
- Size of remote file:
- 26.3 MB
- SHA256:
- 7caca01fafb8d4edef28d4e35a1909cd5f61fa28e2764c83b46397994226bb3d
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