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
File size: 133 Bytes
928e4a8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7caca01fafb8d4edef28d4e35a1909cd5f61fa28e2764c83b46397994226bb3d
size 26283151
|