Instructions to use GleghornLab/AT_RED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/AT_RED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GleghornLab/AT_RED")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GleghornLab/AT_RED") model = AutoModelForMaskedLM.from_pretrained("GleghornLab/AT_RED") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: gpl
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Please see our paper and Github for more details
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https://www.biorxiv.org/content/10.1101/2024.07.30.605924v1
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https://github.com/Gleghorn-Lab/AnnotationVocabulary
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license: gpl
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Please see our paper and Github for more details
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https://www.biorxiv.org/content/10.1101/2024.07.30.605924v1
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https://github.com/Gleghorn-Lab/AnnotationVocabulary
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