Instructions to use multimolecule/aparent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/aparent with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/aparent") model = AutoModel.from_pretrained("multimolecule/aparent") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae68badeb24508bb68d810864bc47b31771b222f9bc5e31f098c8cfd9357ee82
- Size of remote file:
- 25.7 MB
- SHA256:
- 426e7b4119c1d56333730936b8c8aa8c0e76dc4a8e29d697f17992023366a41a
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