Instructions to use multimolecule/malinois with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/malinois with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/malinois") model = AutoModel.from_pretrained("multimolecule/malinois") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAGCGCTGCTCAGATAGCGATGG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1fdde35feed82a0927eb0cc62e84e31ee4ddb1f643b4369e4df50a70d780c76
- Size of remote file:
- 16.5 MB
- SHA256:
- 15aed27e2398f61cc53094e795043a264930f129f58b8e889d8d0b7bfbbed641
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