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:
- 954718032520e0454fc024b860da25e4cce9d6a0162d77c8b71010cc677f17a0
- Size of remote file:
- 557 MB
- SHA256:
- 4d990e67de0fde200e70d95bfe8a65d676a4c3644e2f9483a32658358842a156
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