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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce0d78b4c0d6ba45292a140466d87b0cc3a2dd1ea366569767533ad5ddf185e1
- Size of remote file:
- 217 MB
- SHA256:
- 6b5245778f5c4f80f3ffa9bc756a6e07b2749b6bfe24b7cdfb513d756c687085
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