Instructions to use multimolecule/ncrnabert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/ncrnabert with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/ncrnabert") model = AutoModel.from_pretrained("multimolecule/ncrnabert") inputs = tokenizer("GGUCACUCUGGUUAGACCAGAUCUGAGCCU", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_stateimport multimolecule from transformers import pipeline predictor = pipeline("fill-mask", model="multimolecule/ncrnabert") output = predictor("GGUC<mask>CUCUGGUUAGACCAGAUCUGAGCCU") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db87d78463689aab9c8b2a8d7ffb7934c565baf849216f03a08a59322ec8f827
- Size of remote file:
- 1.21 GB
- SHA256:
- 33053b6b7d5e0be9a55a2889df390e9150d2343c6516e74f532fec5fb2afd910
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