from nspl.guards.classifier import ClassifierDetector

detector = ClassifierDetector(
    model_name="astoreyai/nspl-deberta-injection-v1",
    threshold=0.5,
)
result = detector.detect("Ignore all previous instructions")
print(result.triggered)  # True
print(result.score)      # 0.98

Or standalone with transformers:

python

from transformers import pipeline

classifier = pipeline("text-classification", model="astoreyai/nspl-deberta-injection-v1")
result = classifier("Ignore all previous instructions")
# [{'label': 'INJECTION', 'score': 0.98}]

Training

Base model: protectai/deberta-v3-base-prompt-injection-v2
Dataset: deepset/prompt-injections (546 train, 116 test)
Epochs: 3
Learning rate: 2e-5
Batch size: 16
Training time: 56 seconds on CPU
Framework: Hugging Face Transformers + Trainer

Part of NSPL

This model is part of NSPL (Non-Stochastic Protection Layer), a Python framework for deterministic LLM safety verification.

Citation

bibtex

@software{storey2026nspl,
  author = {Storey, Aaron and McCardle, John},
  title = {NSPL: Non-Stochastic Protection Layer for Agentic AI},
  year = {2026},
  url = {https://github.com/astoreyai/nspl}
}