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onhighengineer/smartguard-deberta-v2

sourceHugging Facemitupdated 6mo agoView on Hugging Face

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Model Card

SmartGuard DeBERTa v2

SmartGuard is a fine-tuned transformer model based on DeBERTa v3 for detecting unsafe, toxic, or policy-violating text. It is designed for LLM guardrails, moderation, and safety filtering use cases.

Model Details

—Model Name: smartguard-deberta-v2
—Base Model: microsoft/deberta-v3-base
—Framework: PyTorch + Hugging Face Transformers
—Task: Text Classification (Safety / Toxicity Detection)
—Classes:
—0 → Safe
—1 → Unsafe / Toxic

Intended Use

This model is intended for:

—LLM guardrails (input/output filtering)
—Toxicity detection
—Content moderation systems
—AI safety pipelines

How to Use

Load Model

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification

model_id = "onhighengineer/smartguard-deberta-v2"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSequenceClassification.from_pretrained(model_id)