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