Text Classification
Transformers
PyTorch
Safetensors
English
deberta
Trained with AutoTrain
social
offensive speech detection
moderation
Instructions to use KoalaAI/HateSpeechDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoalaAI/HateSpeechDetector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KoalaAI/HateSpeechDetector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KoalaAI/HateSpeechDetector") model = AutoModelForSequenceClassification.from_pretrained("KoalaAI/HateSpeechDetector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17ae75422e3fc24d371bdcefd1722ca026b60d573249a42aa16f0b37546e30b4
- Size of remote file:
- 557 MB
- SHA256:
- f7442253f6e4b20cc3c0ed5b96952e925d4d339028d246d7950bbd78b176216e
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