deberta-prompt-injection

This is an ONNX model used by LLM Guard for security scanning of Large Language Models.

Model Details

Base Model: microsoft/deberta-v3-base (fine-tuned)

This model has been converted to ONNX format for optimized inference performance.

Usage

This model is used automatically by the LLM Guard library:

pip install llm-guard
from llm_guard.input_scanners import PromptInjection

scanner = PromptInjection()
result = scanner.scan("Your prompt here")
print(result)

The model will be downloaded automatically when the corresponding scanner is used.

About LLM Guard

LLM Guard is a comprehensive security toolkit for Large Language Models, providing:

  • πŸ›‘οΈ Prompt injection detection
  • πŸ”’ PII detection and anonymization
  • 🚫 Toxicity filtering
  • βš–οΈ Bias detection
  • πŸ“Š And many more security features

Repository: https://github.com/akto-api-security/llm-guard

License

MIT License


Maintained by Akto API Security

Downloads last month
16
Safetensors
Model size
0.2B params
Tensor type
F32
Β·
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support