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Robbert V2 Dutch Ner
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Robbert V2 Dutch Ner

Developed by pdelobelle
RobBERT is the state-of-the-art Dutch BERT model, pretrained on a large scale and adaptable to various text tasks through fine-tuning.
Large Language Model OtherOpen Source License:MIT#Dutch Pretrained#RoBERTa Architecture#Multi-task Fine-tuning
Downloads 76.94k
Release Time : 3/2/2022

Model Overview

RobBERT is a Dutch language model based on the RoBERTa architecture, developed by KU Leuven. It is pretrained on a large scale and excels in Dutch natural language processing tasks such as text classification, regression, and token labeling through fine-tuning.

Model Features

State-of-the-art Dutch Model
Achieves state-of-the-art performance in various Dutch natural language processing tasks.
Based on RoBERTa Architecture
Utilizes the improved RoBERTa architecture for enhanced language understanding.
Extensive Application Validation
Successfully applied by numerous researchers and practitioners in various Dutch NLP tasks.

Model Capabilities

Text classification
Regression analysis
Sequence labeling
Language understanding
Text feature extraction

Use Cases

Academic Research
Dutch NLP Research
Used as a benchmark model and research tool for various Dutch natural language processing tasks.
Achieves state-of-the-art performance
Industrial Applications
Text Classification System
Can be used to build Dutch text classification systems, such as sentiment analysis and topic classification.
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