SegMoE: Segmind Diffusion Mixture of Experts (MoEs) Model

Create your own AI masterpiece with "SegMoE: Segmind Diffusion Mixture of Experts (MoEs) Model"! 🚀 Dive into the future of AI with my tutorial video that guides you through the innovative "SegMoE" framework, seamlessly integrated into the HuggingFace ecosystem and supported by diffusers. 🤖
Discover how "SegMoE" echoes the architecture of "Stable Diffusion" and takes it a notch higher by blending multiple models into a singular powerhouse, akin to "Mixtral 8x7b". By innovatively replacing certain feedforward layers with sparse MoE layers, complete with a network of routers for efficient token handling, "SegMoE" elevates model efficiency and customization to new heights.
Whether you're a seasoned developer or an AI enthusiast, I'll walk you through how effortlessly you can craft your very own MoE models using the 'segmoe' package. And guess what? It only takes a few minutes! 🕒 For those eager to dive deeper, the GitHub repository awaits with all the details you need. Inspired by the acclaimed "mergekit" library, "segmoe" is designed to unleash creativity and innovation. 🎨
So, what are you waiting for? Join me as I unveil the power of "SegMoE" and demonstrate how to create your very own mixture of experts model. 🌟 Remember to hit the like button, drop your thoughts in the comments, and subscribe for more AI adventures. Your journey towards mastering AI starts here!
GitHub Repo: github.com/segmind/segmoe
HF Blog Post: huggingface.co/blog/moe
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[@user-iu4id3eh1x]

Mind blowing

[@youtubesubscription6579]

I read this paper recently and I see it already in your videos!kudos

[@AIAnytime]

Thank you

[@mohsenghafari7652]

hi. please help me. how to create custom model from many pdfs in Persian language? tank you.

[@FalahgsGate]

looking for Fine-Tuning the GPT Model for a custom dataset

[@programwithpradhan]

The only problem with computer vision and diffusion models are you can't explore them on freely available resources.