Instructions to use multimolecule/deepstarr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/deepstarr with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/deepstarr") model = AutoModel.from_pretrained("multimolecule/deepstarr") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAGCGCTGCTCAGATAGCGATGG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from multimolecule/deepstarr: direct link, hf CLI and curl.
- Browser
- Download file 2.52 MB
-
https://huggingface.co/multimolecule/deepstarr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://multimolecule/deepstarr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/multimolecule/deepstarr/resolve/main/pytorch_model.bin
2.52 MB
- Xet hash:
- 58381780330d284737585bb940a2b58e596fe676949cdc4d6804896c7d5b482e
- Size of remote file:
- 2.52 MB
- SHA256:
- 954c8850784df37bf0f8b57999e0e06801778e35cf15087d88e5ce16c7034671
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