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:
- 555caf0c2e08a5337ba70dfb4c529561d0892532c2f42960612f394fda527ab4
- Size of remote file:
- 557 MB
- SHA256:
- 697d2cce4b6468b385f45b5b6504767dd7ed663f6d2abf4522d3350ee88ea9c7
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