How to use isaacus/emubert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="isaacus/emubert")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("isaacus/emubert") model = AutoModelForMaskedLM.from_pretrained("isaacus/emubert", device_map="auto")
https://huggingface.co/isaacus/emubert/resolve/main/merges.txt
hf download hf://isaacus/emubert/merges.txt
curl -L -o merges.txt https://huggingface.co/isaacus/emubert/resolve/main/merges.txt
