ShieldGemma

Security content auditing model

CommonProductProgrammingContent AuditingText Generation

ShieldGemma is a series of security content auditing models built on Gemma 2, developed by Google, focusing on four harm categories: adult content, dangerous content, hate speech, and harassment. These are text-to-text decoder-only large language models available only in English, with open weights, including models with 2B, 9B, and 27B parameter sizes. These models are designed as part of a responsible generative AI toolkit to enhance the safety of AI applications.

Text-to-text decoder-only large language models
focused on content auditing.
Offers three different model sizes: 2B
9B
and 27B parameters.
Formats input using specific patterns for optimal performance.
Outputs text strings indicating whether user input or model output violates the provided policy.
Has undergone a safety evaluation for fairness features
compliant with internal guidelines.
Part of a responsible generative AI toolkit aimed at improving the safety of AI applications.

\The ShieldGemma model is suitable for developers and businesses that need to conduct security audits on text content
such as social media platforms
online forums
and content publishing systems. These models can help filter out content that violates security policies
enhancing the overall quality and compliance of the content.\

Social media platforms use the ShieldGemma model to automatically detect and filter hate speech.
Online education platforms utilize the model to ensure healthy and positive discussions in forums.
Internal company forums adopt the ShieldGemma model to monitor and prevent workplace harassment.

Install the necessary library: `pip install -U transformers[accelerate]`.
Import AutoTokenizer and AutoModelForCausalLM from Hugging Face.
Load the ShieldGemma model using AutoTokenizer and AutoModelForCausalLM.
Format the prompt as needed
including context

Visit

ShieldGemma Visit Over Time

Monthly Visits

20899836

Bounce Rate

46.04%

Page per Visit

5.2

Visit Duration

00:04:57

ShieldGemma Visit Trend

ShieldGemma Visit Geography

ShieldGemma Traffic Sources

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ShieldGemma

ShieldGemma Visit Over Time

ShieldGemma Visit Trend

ShieldGemma Visit Geography

ShieldGemma Traffic Sources

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