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+ ---
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+ language: "nl"
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+ thumbnail: "https://github.com/iPieter/RobBERT/raw/master/res/robbert_logo.png"
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+ tags:
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+ - Dutch
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+ - Flemish
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+ - RoBERTa
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+ - RobBERT
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+ license: mit
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+ datasets:
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+ - oscar
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+ - oscar (NL)
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+ - dbrd
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+ - lassy-ud
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+ - europarl-mono
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+ - conll2002
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+ widget:
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+ - text: "Mijn naam is RobBERT en ik ben een taalmodel van de KU Leuven."
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+ ---
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+
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+ <p align="center">
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+ <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%">
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+ </p>
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+
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+ # RobBERT: Dutch RoBERTa-based Language Model.
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+
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+ [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,