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:
- 49b6e514a416fd6272e27aaeaeaa5af15c1b81847392e943e8eaa4ec0d69e271
- Size of remote file:
- 2.11 MB
- SHA256:
- fc39e4a9ef588149e8513a2d7e0d1cda450b1884a5f6c62a945d9ec1e5bdbfe4
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