Upload deberta-prompt-injection-v2 model for LLM Guard

README.md

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+---
+license: mit
+library_name: transformers
+tags:
+  - llm-guard
+  - security
+  - onnx
+---
+
+# deberta-prompt-injection-v2
+
+This is an ONNX model used by LLM Guard for security scanning.
+
+Original model source: `protectai/deberta-v3-base-prompt-injection-v2`
+
+## Usage
+
+This model is used automatically by the LLM Guard library. Install LLM Guard:
+
+```bash
+pip install llm-guard
+```
+
+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:
+- Prompt injection detection
+- PII detection and anonymization
+- Toxicity filtering
+- Bias detection
+- And more security features
+
+Repository: https://github.com/akto-api-security/llm-guard
+
+## License
+
+MIT License - See the original model repository for specific licensing details.

added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "microsoft/deberta-v3-base",
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "SAFE",
+    "1": "INJECTION"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "INJECTION": 1,
+    "SAFE": 0
+  },
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

deberta-v3-base-prompt-injection-v2_emissions.csv

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model.safetensors

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onnx/added_tokens.json

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+}

onnx/config.json

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+{
+  "_name_or_path": "protectai/deberta-v3-base-prompt-injection-v2",
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "SAFE",
+    "1": "INJECTION"
+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "SAFE": 0
+  },
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+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

onnx/model.onnx

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onnx/special_tokens_map.json

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onnx/tokenizer_config.json

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special_tokens_map.json

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tokenizer_config.json

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