Instructions to use multimolecule/utrlm-mrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/utrlm-mrl with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/utrlm-mrl") model = AutoModel.from_pretrained("multimolecule/utrlm-mrl") 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/utrlm-mrl") output = predictor("UAGCUUAUCAG<mask>CUGAUGUUGA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3821aea02ad6e45535ad9fc3cf5cd7c16b79bc4db9fc192bd68a6e4c0fc8ceb9
- Size of remote file:
- 4.89 MB
- SHA256:
- e835af45a6f4327d6602e21f95887d417cef5025572a2fc0f7319c5364f370a1
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