AST-1320/ncii-light-guard-v01
text-classification model by AST-1320
From the publisher
Model card & documentation
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The following is a light-weight classification model designed to score the NCII risk of image editing prompts. Minimal use code with pipeline: Returns: General-purpose image-editing models have recently become more performant, particularly in their ability to preserve the identity of individual people while making photo-realistic changes to a picture. This has led to increased concerns about abuse of models to create non-consensual intimate imagery (NCII) from ordinary photos. As a result, some jurisdictions, including the EU, are introducing regulation mandating deployers to add targeted guardrails to prevent users from easily nudifying subjects of photographs or editing images to sexualize them without their consent. This model acts as a small prompt guard: it scores whether an instruction looks like an edit request that has a high risk of enabling NCII creation. The proposed model was designed to prioritize computational efficiency, it is meant as an extremely easy to deploy minimal step…
Read the full model card ↗ · Preview checked 2026-10-04T07:02:43.426Z
Inside the original model card — Document outline
- Model Card for NCII-Light-Guard v0.1
- How to use
- Why this exists
- What the model is
- Limitations
- Feedback
- Training overview
- Sources of training examples
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Model overview
AST-1320/ncii-light-guard-v01 is a text-classification model repository published by AST-1320 on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 268,099,456
- Architecture
- Gemma3TextForSequenceClassification
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-04T05:58:51.000Z
- Last modified
- 2026-10-04T05:58:51.000Z
Compatibility and lineage
Reported languages: en
Reported base models: microsoft/harrier-oss-v1-270m
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-04T06:39:42.784Z. Daily imports are snapshots, not real-time monitoring.
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