How to use wt3639/EduGBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="wt3639/EduGBERT")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("wt3639/EduGBERT") model = AutoModelForMaskedLM.from_pretrained("wt3639/EduGBERT", device_map="auto")
https://huggingface.co/wt3639/EduGBERT/resolve/main/tokenizer.json
hf download hf://wt3639/EduGBERT/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/wt3639/EduGBERT/resolve/main/tokenizer.json
