Instructions to use Hate-speech-CNERG/dehatebert-mono-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hate-speech-CNERG/dehatebert-mono-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hate-speech-CNERG/dehatebert-mono-arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hate-speech-CNERG/dehatebert-mono-arabic") model = AutoModelForSequenceClassification.from_pretrained("Hate-speech-CNERG/dehatebert-mono-arabic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43f56189976d3c30fabd33d3ee269fb42889f2a4430c30079912da0499f6f8cc
- Size of remote file:
- 669 MB
- SHA256:
- c8db1e621ff3d2b986ae4cabb91be51139ddb187e50e39b9bd4f381796265e98
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