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