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# Model Card for deberta-v3-base-prompt-injection
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on multiple combined datasets of prompt injections and normal prompts.
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It aims to identify prompt injections, classifying inputs into two categories: `0` for no injection and `1` for injection detected.
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# Model Card for deberta-v3-base-prompt-injection
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**There is a newer version of the model - [protectai/deberta-v3-base-prompt-injection-v2](https://huggingface.co/protectai/deberta-v3-base-prompt-injection-v2).**
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on multiple combined datasets of prompt injections and normal prompts.
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It aims to identify prompt injections, classifying inputs into two categories: `0` for no injection and `1` for injection detected.
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