Instructions to use multimolecule/hyenadna-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/hyenadna-tiny with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/hyenadna-tiny") model = AutoModel.from_pretrained("multimolecule/hyenadna-tiny") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7b05c0e9d343103a3a8c2199b17d9bcd05a2135d2184e5d51a09c83b6ea067f
- Size of remote file:
- 1.77 MB
- SHA256:
- ff915d21df374b87eae161ef270d2eb2271f996a4a2f16478282cbb0c690b140
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