ViT classification architecture
The captured configuration identifies ViTForImageClassification with a vit model type for image classification.
Open Source Model Profile · Falconsai
nsfw_image_detection
nsfw_image_detection is an image-classification model from Falconsai. Captured Safetensors metadata reports about 85.8M parameters with a ViT architecture and Apache-2.0 licensing.
- Publisher
- Falconsai
- Task
- image-classification
- Model type
- vit
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
nsfw_image_detection is published by Falconsai as an image-classification model. The captured configuration identifies ViTForImageClassification with a vit model type, and Safetensors metadata reports 85,800,194 parameters. Captured metadata records an Apache-2.0 license and Transformers library support.
Recorded capabilities
85.8M-parameter Safetensors record
Captured Safetensors metadata reports 85,800,194 parameters, or about 85.8M.
Apache-2.0 licensing
Captured metadata records an Apache-2.0 license value.
Transformers support
The hub record lists transformers as the library, with pytorch, safetensors, and endpoints compatibility tags.
Use cases in the source record
- Transformers-based image-classification workflows using the documented ViTForImageClassification architecture.
- Image-moderation triage experiments suggested by the repository name; the label set and thresholds were not extracted and need confirmation before use.
Limitations and unknowns
- No model card was extracted for this record, so training data, label schema, and intended thresholds are unknown.
- No evaluation results were extracted from this record.
- Provider state is historical snapshot data, not independently refreshed current availability.
Source and provenance
Source: Falconsai/nsfw_image_detection
Captured: Unknown. Processed: 2026-09-07T19:34:30.770061+00:00.
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