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