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Upload codebert-malicious-urls-onnx model for LLM Guard

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Files changed (8) hide show
  1. README.md +39 -0
  2. config.json +41 -0
  3. merges.txt +0 -0
  4. model.onnx +3 -0
  5. special_tokens_map.json +15 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +64 -0
  8. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: mit
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+ library_name: transformers
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+ tags:
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+ - llm-guard
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+ - security
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+ - onnx
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+ ---
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+
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+ # codebert-malicious-urls-onnx
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+
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+ This is an ONNX model used by LLM Guard for security scanning.
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+
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+ Original model source: `ProtectAI/codebert-base-Malicious_URLs-onnx`
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+
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+ ## Usage
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+
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+ This model is used automatically by the LLM Guard library. Install LLM Guard:
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+
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+ ```bash
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+ pip install llm-guard
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+ ```
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+
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+ The model will be downloaded automatically when the corresponding scanner is used.
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+
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+ ## About LLM Guard
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+
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+ LLM Guard is a comprehensive security toolkit for Large Language Models, providing:
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+ - Prompt injection detection
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+ - PII detection and anonymization
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+ - Toxicity filtering
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+ - Bias detection
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+ - And more security features
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+
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+ Repository: https://github.com/akto-api-security/llm-guard
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+
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+ ## License
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+
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+ MIT License - See the original model repository for specific licensing details.
config.json ADDED
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+ {
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+ "_name_or_path": "DunnBC22/codebert-base-Malicious_URLs",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "phishing",
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+ "1": "benign",
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+ "2": "defacement",
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+ "3": "malware"
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+ },
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+ "phishing": 0
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
merges.txt ADDED
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+ version https://git-lfs.github.com/spec/v1
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