Instructions to use multimolecule/deepmel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/deepmel with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/deepmel") model = AutoModel.from_pretrained("multimolecule/deepmel") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAGCGCTGCTCAGATAGCGATGG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cf6fcba2d04d0fce199ad388ba8c91a7ceedabdf1e699ca2aef794fc8f157d5
- Size of remote file:
- 13.8 MB
- SHA256:
- dcf09b7210e1d777d924580a5c93050edc949607ba4ca10b76a769ee9ccf2889
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