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:
- 4827746ec21ff606f2969edd2b300855ebcd6e8e7b5cc8f2192c3d8c950f7471
- Size of remote file:
- 437 MB
- SHA256:
- 6ecbac6a99d50a9aea64fc54551c83dd5486bd30e4e0111dca36e0e3399c2249
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