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
safeunsafe/sexualunsafe/violenceunsafe/hateunsafe/self-harmunsafe/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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