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:
- 1f37bf105f7ad3595b45a49edba8bcd893fe207a61504246dc33fc93b00808a4
- Size of remote file:
- 437 MB
- SHA256:
- 3a7fabf3fc72eae6e9470e1fe279b758b1a7d8800266cc4a32381561517e95d9
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