Text Classification
Transformers
Safetensors
lunaris_guard
feature-extraction
prompt-injection
jailbreak-detection
content-safety
ai-safety
guardrails
modernbert
multilingual
custom_code
Eval Results (legacy)
Instructions to use auren-research/lunaris-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auren-research/lunaris-guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="auren-research/lunaris-guard", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("auren-research/lunaris-guard", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55cd8216610db9f33ddf2a6f63b60ff1cea8f3c4be987e1a55face8fca4f8664
- Size of remote file:
- 596 MB
- SHA256:
- ed09277f2c8319c4ab461807e9df169fd719e2958c8ce6837d8a67bf99a926e2
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