Instructions to use multimolecule/openspliceai-honeybee.80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/openspliceai-honeybee.80 with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/openspliceai-honeybee.80") model = AutoModel.from_pretrained("multimolecule/openspliceai-honeybee.80") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_state - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d1f6f2366d4c7a09e28e0cc3306407b08ac12951929c32a5dfed614550dada2
- Size of remote file:
- 399 kB
- SHA256:
- b44c04d60db781da27831876ac87c22974f6d3fc20c906c0ab1b426219ecce63
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.