Instructions to use multimolecule/aparent2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/aparent2 with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/aparent2") model = AutoModel.from_pretrained("multimolecule/aparent2") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ff8d323f9e56d3920cd6b0b3daa0c80c93882ba3af5ff3a19d0e14e68554e6b
- Size of remote file:
- 918 kB
- SHA256:
- 45751effad374ce584c51088fb1e263dab8861d6b747fe362db17b28384fa9f1
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