Bases: HuggingFace
Prompt injection detection encoder based model.
For more information, please see the model card:
Source code in src/any_guardrail/guardrails/injec_guard/injec_guard.py
| class InjecGuard(HuggingFace):
"""Prompt injection detection encoder based model.
For more information, please see the model card:
- [InjecGuard](https://huggingface.co/leolee99/InjecGuard).
"""
SUPPORTED_MODELS: ClassVar = ["leolee99/InjecGuard"]
def _load_model(self) -> None:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
self.model = AutoModelForSequenceClassification.from_pretrained(self.model_id, trust_remote_code=True)
self.tokenizer = AutoTokenizer.from_pretrained(self.model_id) # type: ignore[no-untyped-call]
def _post_processing(self, model_outputs: dict[str, Any]) -> GuardrailOutput:
return _match_injection_label(model_outputs, INJECGUARD_LABEL, self.model.config.id2label)
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