#CLIPModel
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hanny.tv
I just sold a hot clip on #NiteFlirt. Buy it and submit to me: https://www.niteflirt.com/profile/MissHannelore/gb/6100311?un=ec59. #FemDom #ClipModel
November 4, 2026 at 7:23 AM
hanny.tv
I just sold a hot clip on #NiteFlirt. Buy it and submit to me: https://www.niteflirt.com/profile/MissHannelore/gb/6215811?un=e0f2. #FemDom #ClipModel
November 4, 2026 at 1:08 AM
badmonster0.bsky.social
Build Real-Time Image Search 🔍 with vision model #CLIP by #OpenAI and #VectorDatabase @qdrant.bsky.social

🔗 repo: github.com/cocoindex-io...

🔗 tutorial: cocoindex.io/blogs/image-...

#ImageSearch #MultimodalAI #CLIPModel #RealTimeAI #VectorSearch #AIInfra #LLMApplications #SemanticSearch
GitHub - cocoindex-io/cocoindex: Real-time data transformation framework for AI. Ultra performant, with incremental processing.
Real-time data transformation framework for AI. Ultra performant, with incremental processing. - cocoindex-io/cocoindex
github.com
May 22, 2025 at 6:49 AM
discuss.huggingface.co.web.brid.gy
Increasing pretrained CLIP max possible text sequence length
We can use Long-clip model to solve this issue. In this it will give you max_position_embeddings = 256 which is more than 77 provided by clip. Following code will may help you. from transformers import CLIPModel, CLIPProcessor, CLIPConfig model_id = (“zer0int/LongCLIP-GmP-ViT-L-14”) config = CLIPConfig.from_pretrained(model_id) config.text_config.max_position_embeddings = 248 model = CLIPModel.from_pretrained(model_id,config=config) processor = CLIPProcessor.from_pretrained(model_id,config=config) This may help you with problem.
discuss.huggingface.co
November 7, 2024 at 4:57 AM