Instructions to use multimolecule/basenji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/basenji with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/basenji") model = AutoModel.from_pretrained("multimolecule/basenji") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAGCGCTGCTCAGATAGCGATGG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b037c47a2d735f60954b0fe01dd826ed544e483fae2d0b3d172f180a2727354
- Size of remote file:
- 121 MB
- SHA256:
- 8887649646dea7f6bb6cd759099f803f5a267992c1c1b2c58ee83133ef8f5cbd
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