Instructions to use KoalaAI/Text-Moderation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoalaAI/Text-Moderation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KoalaAI/Text-Moderation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KoalaAI/Text-Moderation") model = AutoModelForSequenceClassification.from_pretrained("KoalaAI/Text-Moderation") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cbd779abe61ad8d5d1bddd55dcaccc30b75d52048e33347872fe424f537a930
- Size of remote file:
- 143 MB
- SHA256:
- f453d21e8e4dd42acf90bd8cc67e04ca1490b5987279778df65208d05e45f5c1
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