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