Instructions to use multimolecule/mpradragonn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/mpradragonn with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/mpradragonn") model = AutoModel.from_pretrained("multimolecule/mpradragonn") inputs = tokenizer("ACTCCCCTGCCCTCAACAAGATGTTTTGCCAACTGGCCAAGACCTGCCCTGTGCAGCTGTGGGTTGATTCCACACCCCCGCCCGGCACCCGCGTCCGCGCCATGGCCATCTACAAGCAGTCACAGCACATGACGGAGGTTGTGAGGCGCTGCCCCCACCATGAGCGCTGCTCAGATAGCGATGG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1fec884a9969ec21fd656c51edafe9a3ba6b0c54176b2c59835f10d687d24e8
- Size of remote file:
- 1.37 MB
- SHA256:
- ea54025dbbf3dade4f93015b043a7909c372c0bbc2e6ad37b9445ea01ec26246
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