Instructions to use pdelobelle/robbert-v2-dutch-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pdelobelle/robbert-v2-dutch-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pdelobelle/robbert-v2-dutch-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pdelobelle/robbert-v2-dutch-ner") model = AutoModelForTokenClassification.from_pretrained("pdelobelle/robbert-v2-dutch-ner") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Error:"datasets[1]" with value "oscar (NL)" is not valid. If possible, use a dataset id from https://hf.co/datasets.
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,
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