Instructions to use multimolecule/openspliceai-zebrafish.10000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/openspliceai-zebrafish.10000 with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/openspliceai-zebrafish.10000") model = AutoModel.from_pretrained("multimolecule/openspliceai-zebrafish.10000") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15168fe7ec67932f70fc4381ea1adb5f73f51eeadff4c266bc633982d39c1b4c
- Size of remote file:
- 2.88 MB
- SHA256:
- 6833ddf026e2fcf72ffb02eec6a3fe3b6c4fa7f08c99b83f1d952ecc4de73c29
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