# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("DDSC/roberta-base-danish")
model = AutoModelForMaskedLM.from_pretrained("DDSC/roberta-base-danish")Quick Links
RøBÆRTa - Danish Roberta Base
Description
RøBÆRTa is a danish pretrained Roberta base model. RøBÆRTa was pretrained on the danish mC4 dataset during the flax community week. This project was organized by Dansk Data Science Community (DDSC) 👇
https://www.linkedin.com/groups/9017904/
Team RøBÆRTa:
- Dan Saattrup Nielsen (saattrupdan)
- Malte Højmark-Bertelsen (Maltehb)
- Morten Kloster Pedersen (MortenKP)
- Kasper Junge (Juunge)
- Per Egil Kummervold (pere)
- Birger Moëll (birgermoell)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DDSC/roberta-base-danish")