How to use aehrm/gepabert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aehrm/gepabert")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aehrm/gepabert") model = AutoModelForMaskedLM.from_pretrained("aehrm/gepabert", device_map="auto")
https://huggingface.co/aehrm/gepabert/resolve/refs%2Fpr%2F2/tokenizer.json
hf download hf://aehrm/gepabert@refs/pr/2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/aehrm/gepabert/resolve/refs%2Fpr%2F2/tokenizer.json
