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vit-nsfw-detector-onnx
d0gr/vit-nsfw-detector-onnx
vit-nsfw-detector-onnx is a machine learning model from d0gr. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Verbatim mirror of onnx/modelint8.onnx from AdamCodd/vit-base-nsfw-detector, re-hosted so the extension's safety check cannot be broken by an upstream file being moved, replaced or deleted. The weights are unmodified.
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Public
Updated Aug 15, 2026
Repo size
88.5 MB
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.onnx88.5 MB · 100%
At a glance
- Access
- Public
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026
- SHA
- 4a80aac2
Model card
From the Hugging Face model README
vit-base-nsfw-detector — ONNX int8 mirror
Verbatim mirror of onnx/model_int8.onnx from
AdamCodd/vit-base-nsfw-detector,
re-hosted so the extension's safety check cannot be broken by an upstream file
being moved, replaced or deleted. The weights are unmodified.
- Upstream: AdamCodd/vit-base-nsfw-detector
- License: Apache-2.0 (upstream
cardData.license) - File:
onnx/model_int8.onnx→nsfw_classifier/model.onnx - sha256:
d25aa73fe1eec78459e35ff911e2af98f652ee919b48d9c54316c86d5ff435fa
Contract the extension relies on
| input | pixel_values [1, 3, 384, 384] float32, CHW |
| preprocessing | bilinear resize to 384², /255, then (x - 0.5) / 0.5 |
| output | logits [1, 2] — softmax, index 1 = nsfw (id2label = {0: sfw, 1: nsfw}) |
config.json and preprocessor_config.json are mirrored alongside as the
provenance for those numbers.
- Created
- Aug 15, 2026
- Updated
- Aug 15, 2026