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:
- 3a887fd78306fe4860f2691cdc04942c52fe5a6700adc4243e95ac7c109fa18b
- Size of remote file:
- 2.11 MB
- SHA256:
- a2e3a195159c59b909fa8f973664f1aaef9d754c73c8a2f9ca04857a4c5ca024
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