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:
- 50bf9aa19149065321ff1946caa52c5330905e009f90c7454d78c6aa9b911294
- Size of remote file:
- 816 kB
- SHA256:
- 298ccf5ac03b73e35a4ea3b8a5edf4a7149e7cf42aad49397ac4a7c4ba25a2cf
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