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
File size: 283 Bytes
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"modes": [
"fp16",
"q8",
"int8",
"uint8",
"q4",
"q4f16",
"bnb4"
],
"per_channel": true,
"reduce_range": true,
"block_size": null,
"is_symmetric": true,
"accuracy_level": null,
"quant_type": 1
} |