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SecureBERT2.0-code-vuln-detection

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@@ -28,11 +28,11 @@ It is fine-tuned for **code-level security analysis**, extending the capabilitie
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  - **Number of labels:** 2
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  - **Language:** English (source code tokens)
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  - **License:** Apache-2.0
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- - **Finetuned from model:** [CiscoAITeam/SecureBERT2.0-base](https://huggingface.co/CiscoAITeam/SecureBERT2.0-base)
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  ### Model Sources
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- - **Repository:** [https://huggingface.co/CiscoAITeam/SecureBERT2.0-code-vuln-detection](https://huggingface.co/CiscoAITeam/SecureBERT2.0-code-vuln-detection)
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  - **Paper:** [arXiv:2510.00240](https://arxiv.org/abs/2510.00240)
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  ---
@@ -80,7 +80,7 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  import torch
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  # Path to the model
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- model_dir = "CiscoAITeam/SecureBERT2.0-code-vuln-detection"
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  # Load tokenizer and model
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  tokenizer = AutoTokenizer.from_pretrained(model_dir)
 
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  - **Number of labels:** 2
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  - **Language:** English (source code tokens)
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  - **License:** Apache-2.0
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+ - **Finetuned from model:** [cisco-ai/SecureBERT2.0-base](https://huggingface.co/cisco-ai/SecureBERT2.0-base)
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  ### Model Sources
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+ - **Repository:** [https://huggingface.co/cisco-ai/SecureBERT2.0-code-vuln-detection](https://huggingface.co/cisco-ai/SecureBERT2.0-code-vuln-detection)
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  - **Paper:** [arXiv:2510.00240](https://arxiv.org/abs/2510.00240)
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  ---
 
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  import torch
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  # Path to the model
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+ model_dir = "cisco-ai/SecureBERT2.0-code-vuln-detection"
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  # Load tokenizer and model
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  tokenizer = AutoTokenizer.from_pretrained(model_dir)