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README.md
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max_seq_length = None
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packing = False
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max_seq_length = None
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packing = False
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This model is an ethically fine-tuned version of Llama 2, specifically trained to detect and flag private or sensitive information within natural text. It serves as a powerful tool for data privacy and security, capable of identifying potentially vulnerable data such as:
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API keys
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Personally Identifiable Information (PII)
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Financial data
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Confidential business information
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Login credentials
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Key Features:
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Analyzes natural language input to identify sensitive content
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Provides explanations for detected sensitive information
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Helps prevent accidental exposure of private data
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Supports responsible data handling practices
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Use Cases:
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Content moderation
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Data loss prevention
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Compliance checks for GDPR, HIPAA, etc.
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Security audits of text-based communications
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This model aims to enhance data protection measures and promote ethical handling of sensitive information in various applications and industries.
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