Instructions to use multimolecule/rinalmo-micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/rinalmo-micro with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/rinalmo-micro") model = AutoModel.from_pretrained("multimolecule/rinalmo-micro") inputs = tokenizer("UAGCUUAUCAGACUGAUGUUGA", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_stateimport multimolecule from transformers import pipeline predictor = pipeline("fill-mask", model="multimolecule/rinalmo-micro") output = predictor("UAGCUUAUCAG<mask>CUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 489a606628c21022f1d6576077d4a641fdbb78b0231a93bb0e657c2cedfd0849
- Size of remote file:
- 134 MB
- SHA256:
- 3c3d0d2212c813b5759b98c4857e63e8278920ac54984c01967a68ed8b0b7aba
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