Instructions to use multimolecule/hyenadna-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/hyenadna-medium with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/hyenadna-medium") model = AutoModel.from_pretrained("multimolecule/hyenadna-medium") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b41ea991e1afb43200b892f4bece980be9ad7e06455f426199857869ab09456
- Size of remote file:
- 13.2 MB
- SHA256:
- 875d7b3dba2d8d574efe301f95848023fee0d6eb46b03e8f577a0cb2fb7b227e
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