Create README.md

README.md

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+---
+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,