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Deepset

any_guardrail.guardrails.deepset.deepset

Deepset

Bases: StandardGuardrail

Wrapper for prompt injection detection model from Deepset.

For more information, please see the model card:

Source code in src/any_guardrail/guardrails/deepset/deepset.py 
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class Deepset(StandardGuardrail):
    """Wrapper for prompt injection detection model from Deepset.

    For more information, please see the model card:

    - [Deepset](https://huggingface.co/deepset/deberta-v3-base-injection).
    """

    SUPPORTED_MODELS: ClassVar = ["deepset/deberta-v3-base-injection"]

    def __init__(self, model_id: str | None = None, provider: StandardProvider | None = None) -> None:
        """Initialize the Deepset guardrail."""
        self.model_id = default(model_id, self.SUPPORTED_MODELS)
        self.provider = provider or HuggingFaceProvider()
        self.provider.load_model(self.model_id)

    def _pre_processing(self, input_text: str) -> StandardPreprocessOutput:
        return self.provider.pre_process(input_text)

    def _inference(self, model_inputs: StandardPreprocessOutput) -> StandardInferenceOutput:
        return self.provider.infer(model_inputs)

    def _post_processing(self, model_outputs: StandardInferenceOutput) -> BinaryScoreOutput:
        return match_injection_label(model_outputs, DEEPSET_INJECTION_LABEL, self.provider.model.config.id2label)  # type: ignore[attr-defined]
__init__(model_id=None, provider=None)

Initialize the Deepset guardrail.

Source code in src/any_guardrail/guardrails/deepset/deepset.py 
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def __init__(self, model_id: str | None = None, provider: StandardProvider | None = None) -> None:
    """Initialize the Deepset guardrail."""
    self.model_id = default(model_id, self.SUPPORTED_MODELS)
    self.provider = provider or HuggingFaceProvider()
    self.provider.load_model(self.model_id)