Instructions to use multimolecule/openspliceai-zebrafish.80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/openspliceai-zebrafish.80 with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/openspliceai-zebrafish.80") model = AutoModel.from_pretrained("multimolecule/openspliceai-zebrafish.80") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0af27c1f6880e668785b6a9aed5815b9e435c97731f1e8fa46bf610f617cf582
- Size of remote file:
- 399 kB
- SHA256:
- 222c0404c7cc57e0af313c37397c2f29cda249c661b9773503596a3aa77d0638
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