Instructions to use GroNLP/bert_dutch_base_abusive_language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroNLP/bert_dutch_base_abusive_language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GroNLP/bert_dutch_base_abusive_language")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GroNLP/bert_dutch_base_abusive_language") model = AutoModelForSequenceClassification.from_pretrained("GroNLP/bert_dutch_base_abusive_language") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09c31c47badfdc25be0c71a9663a07e93193dacbf5728583561a758d083f56bc
- Size of remote file:
- 437 MB
- SHA256:
- 97c4bb63b01b3aaf261ffdb123f2f420a3d8eb5bc779cc3e9447d7a546a8d894
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