Instructions to use GroNLP/bert_dutch_base_offensive_language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroNLP/bert_dutch_base_offensive_language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GroNLP/bert_dutch_base_offensive_language")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GroNLP/bert_dutch_base_offensive_language") model = AutoModelForSequenceClassification.from_pretrained("GroNLP/bert_dutch_base_offensive_language") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d880cca60338c4e0a7f2e96fdbd731ddd044d7f451d6318f92e6d9ba1061d08b
- Size of remote file:
- 437 MB
- SHA256:
- 3856004ff4067a482829e8d15e7a3e302317f452028512b6b72aac9289755e10
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