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