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Tencent/WeMM-Embedding — GitHub trending stats & insights | Trendshift
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Tencent/WeMM-Embedding
#
Computer vision
WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.
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Python
575
14
3 contributors
Custom license
Social mentions
Recent discussions about this repository across the web
腾讯牛逼 !! 微信视觉组开源 WeMM-Embedding, 让多模视觉理解又上一个高度: 比如我想定位视频中,美女打开车门的那段切片,完全可以口述让模型帮找出来,太有用了 赶紧下载体验,嘎嘎香
@huangyun_122 · x.com
是有点东西的,微信开源了 WeMM-Embedding 这是个多模态检索模型,而且已经接入视频号、公众号、朋友圈搜索了,微信电商背后也是这个模型。 几个值得关注的点👇 🔹它是用 Qwen3.5 为基座,用微信自身数亿级多模态参数进行专项训练的模型,提供 2B / 4B / 9B 三个版本,分别对应 Qwen3.5 的三个规模…
@jacky_huu · x.com
#WeChat team has open-sourced WeMM-Embedding—2B/4B/9B multimodal embedding models Built on Qwen3.5, it maps text/images/videos/docs, and interleaved inputs into a shared embedding space 2B beats…
@Chinazhidx · x.com
腾讯今天把自家微信用在视频号、公众号、朋友圈、电商里的Embedding模型也给开源了:WeMM-Embedding 你在视频号里搜的视频、在微信电商里搜的商品等,背后就是它做的内容匹配 2B、4B、9B三种规格,9B在MMEB-v2、MMEB-v3上双第一 #WeMMEmbedding #腾讯Embedding模型
@aigclink · x.com
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