How to use GleghornLab/asm35_red with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="GleghornLab/asm35_red")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("GleghornLab/asm35_red") model = AutoModelForMaskedLM.from_pretrained("GleghornLab/asm35_red", device_map="auto")
https://huggingface.co/GleghornLab/asm35_red/resolve/main/README.md
hf download hf://GleghornLab/asm35_red/README.md
curl -L -o README.md https://huggingface.co/GleghornLab/asm35_red/resolve/main/README.md
library_name: transformers license: gpl
Please see our paper and Github for more details
https://www.biorxiv.org/content/10.1101/2024.07.30.605924v1
https://github.com/Gleghorn-Lab/AnnotationVocabulary
