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:
- b862818dfb1ce75ecdd9985a16e7647100e335039fc29ad57a30eced2312e8a2
- Size of remote file:
- 25.7 MB
- SHA256:
- 3df8f341854a60b73205ba04341c8a4d39b8de61b056274a0e9a35d2134a16e0
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