Kivest-Guard v0.1

Kivest-Guard is a custom-built sequence classification model designed for ultra-fast, high-accuracy content moderation. It processes raw text natively and provides highly accurate confidence scores across 6 distinct safety categories.

It has been rigorously trained on a diverse corpus of internet language, slang, bypassed speech, and enterprise safety data.

Tags

  • safe
  • unsafe/sexual
  • unsafe/violence
  • unsafe/hate
  • unsafe/self-harm
  • unsafe/criminal

Usage Example

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("coolermyself/kivest-gaurd-v0.1")
model = AutoModelForCausalLM.from_pretrained("coolermyself/kivest-gaurd-v0.1")
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