readme: ---
  language: "nl"
  thumbnail: "https://github.com/iPieter/RobBERT/raw/master/res/robbert_logo.png"
  tags:
  - Dutch
  - Flemish
  - RoBERTa
  - RobBERT
  license: mit
  datasets:
  - oscar
  - oscar (NL)
  - dbrd
  - lassy-ud
  - europarl-mono
  - conll2002
  widget:
  - text: "Mijn naam is RobBERT en ik ben een taalmodel van de KU Leuven."
  ---
  
  <p align="center"> 
      <img src="https://github.com/iPieter/RobBERT/raw/master/res/robbert_logo_with_name.png" alt="RobBERT: A Dutch RoBERTa-based Language Model" width="75%">
   </p>
  
  # RobBERT: Dutch RoBERTa-based Language Model.
  
  [RobBERT](https://github.com/iPieter/RobBERT) is the state-of-the-art Dutch BERT model. It is a large pre-trained general Dutch language model that can be fine-tuned on a given dataset to perform any text classification, regression or token-tagging task. As such, it has been successfully used by many [researchers](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=7180110604335112086) and [practitioners](https://huggingface.co/models?search=robbert) for achieving state-of-the-art performance for a wide range of Dutch natural language processing tasks,