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Jaisna Robert
jaisanrobert
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bwang0911
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2 months ago
In the vector search setup, we normally combine a fast embedding model and an accurate but slow reranker model. The newly released @jinaai rerankers are small in size and almost as accurate as our base reranker. This means given a time constraint, it can scoring more candidate documents from embedding models and have a better chance to feed LLM the correct context for RAG generation. These models are available on Huggingface and has been integrated into the latest SentenceTransformers 2.7.0. Check it out! https://huggingface.co/jinaai/jina-reranker-v1-turbo-en https://huggingface.co/jinaai/jina-reranker-v1-tiny-en
Reacted to
radames
's
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with 🔥
2 months ago
HiDiffusion SDXL now supports Image-to-Image, so I've created an "Enhance This" version using the latest ControlNet Line Art model called MistoLine. It's faster than DemoFusion Demo: https://huggingface.co/spaces/radames/Enhance-This-HiDiffusion-SDXL Older version based on DemoFusion https://huggingface.co/spaces/radames/Enhance-This-DemoFusion-SDXL New Controlnet SDXL Controls Every Line https://huggingface.co/TheMistoAI/MistoLine HiDiffusion is compatible with diffusers and support many SD models - https://github.com/megvii-research/HiDiffusion
Reacted to
radames
's
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with 🤯
2 months ago
AI-town now runs on Hugging Face Spaces with our API for LLMs and embeddings, including the open-source Convex backend, all in one container. Easy to duplicate and config on your own Demo: https://huggingface.co/spaces/radames/ai-town Instructions: https://github.com/radames/ai-town-huggingface
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jaisanrobert/blog-post
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Sep 12
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