Pieter Delobelle
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README.md
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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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<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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# RobBERT: Dutch RoBERTa-based Language Model.
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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,
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