How to use ChatterjeeLab/FusOn-pLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ChatterjeeLab/FusOn-pLM")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ChatterjeeLab/FusOn-pLM") model = AutoModelForMaskedLM.from_pretrained("ChatterjeeLab/FusOn-pLM", device_map="auto")
https://huggingface.co/ChatterjeeLab/FusOn-pLM/resolve/refs%2Fpr%2F1/fuson_plm/data/__pycache__/config.cpython-310.pyc
hf download hf://ChatterjeeLab/FusOn-pLM@refs/pr/1/fuson_plm/data/__pycache__/config.cpython-310.pyc
curl -L -o config.cpython-310.pyc https://huggingface.co/ChatterjeeLab/FusOn-pLM/resolve/refs%2Fpr%2F1/fuson_plm/data/__pycache__/config.cpython-310.pyc
