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robbert-v2-dutch-ner
pdelobelle/robbert-v2-dutch-ner
robbert-v2-dutch-ner is a token classification model from pdelobelle. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
<p align="center" <img src="https://github.com/iPieter/RobBERT/raw/master/res/robbertlogowithname.png" alt="RobBERT: A Dutch RoBERTa-based Language Model" width="75%" </p
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Aug 1, 2022
- SHA
- cbe38410
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Model card
From the Hugging Face model README
<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 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 and practitioners for achieving state-of-the-art performance for a wide range of Dutch natural language processing tasks,
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- nl
- Created
- Mar 2, 2022
- Updated
- Aug 1, 2022