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reacted to fdaudens's post with ❤️ 6 days ago
Here’s what happens when a national institution builds its own digital intelligence: France’s Ministry of Culture just released 17K+ real users testing 30+ chatbots in French. Raw, diverse, and a goldmine for studying LLMs in the wild. https://huggingface.co/datasets/ministere-culture/comparia-conversations
reacted to prithivMLmods's post with 🤗 9 days ago
The more optimized explicit content filters with lightweight 𝙜𝙪𝙖𝙧𝙙 models trained based on siglip2 patch16 512 and vit patch16 224 for illustration and explicit content classification for content moderation in social media, forums, and parental controls for safer browsing environments. this version fixes the issues in the previous release, which lacked sufficient resources. 🚀 ⤷ Models : → siglip2 mini explicit content : https://huggingface.co/prithivMLmods/siglip2-mini-explicit-content [recommended] → vit mini explicit content : https://huggingface.co/prithivMLmods/vit-mini-explicit-content ⤷ Building image safety-guard models : https://huggingface.co/strangerguardhf ⤷ Datasets : → nsfw multidomain classification : https://huggingface.co/datasets/strangerguardhf/NSFW-MultiDomain-Classification → nsfw multidomain classification v2.0 : https://huggingface.co/datasets/strangerguardhf/NSFW-MultiDomain-Classification-v2.0 ⤷ Collection : → Updated Versions [05192025] : https://huggingface.co/collections/prithivMLmods/explicit-content-filters-682aaa4733e378561925ca2b → Previous Versions : https://huggingface.co/collections/prithivMLmods/siglip2-content-filters-042025-final-680fe4aa1a9d589bf2c915ff Find a collections inside the collection.👆 To know more about it, visit the model card of the respective model.
replied to prithivMLmods's post 9 days ago
The more optimized explicit content filters with lightweight 𝙜𝙪𝙖𝙧𝙙 models trained based on siglip2 patch16 512 and vit patch16 224 for illustration and explicit content classification for content moderation in social media, forums, and parental controls for safer browsing environments. this version fixes the issues in the previous release, which lacked sufficient resources. 🚀 ⤷ Models : → siglip2 mini explicit content : https://huggingface.co/prithivMLmods/siglip2-mini-explicit-content [recommended] → vit mini explicit content : https://huggingface.co/prithivMLmods/vit-mini-explicit-content ⤷ Building image safety-guard models : https://huggingface.co/strangerguardhf ⤷ Datasets : → nsfw multidomain classification : https://huggingface.co/datasets/strangerguardhf/NSFW-MultiDomain-Classification → nsfw multidomain classification v2.0 : https://huggingface.co/datasets/strangerguardhf/NSFW-MultiDomain-Classification-v2.0 ⤷ Collection : → Updated Versions [05192025] : https://huggingface.co/collections/prithivMLmods/explicit-content-filters-682aaa4733e378561925ca2b → Previous Versions : https://huggingface.co/collections/prithivMLmods/siglip2-content-filters-042025-final-680fe4aa1a9d589bf2c915ff Find a collections inside the collection.👆 To know more about it, visit the model card of the respective model.
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