GitHub / Nnanyelugo-1 / vit-mini-explicit-content
vit-mini-explicit-content is an image classification vision-language model fine-tuned from vit-base-patch16-224-in21k for a single-label classification task. It categorizes images based on their explicitness using the ViTForImageClassification architecture.
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PURL: pkg:github/Nnanyelugo-1/vit-mini-explicit-content
Stars: 0
Forks: 0
Open issues: 0
License: apache-2.0
Language: Python
Size: 13.7 KB
Dependencies parsed at: Pending
Created at: 2 months ago
Updated at: 16 days ago
Pushed at: 16 days ago
Last synced at: 16 days ago
Topics: google, gradio, huggingface-transformers, image-classification, nsfw-classifier, nsfw-detection, nsfw-filter, nsfw-recognition, vision-transformer, vit