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腾讯发布多模态嵌入模型WeMM-Embedding-2B

腾讯发布了WeMM-Embedding-2B,一个基于Qwen 3.5架构构建的多模态嵌入模型。该模型能够处理文本、图像、视频和视觉文档以生成2048维嵌入,但不支持音频输入。它设计用于与Hugging Face的Transformers和sentence-transformers等流行库集成,并提供了使用示例和安装说明。 AI

影响 通过提供一个通用的文本、图像和视频嵌入模型,支持新的多模态应用。

排序理由 发布新的多模态嵌入模型,并附带使用示例。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Trending Models 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

腾讯发布多模态嵌入模型WeMM-Embedding-2B

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
发布新的多模态嵌入模型,并附带使用示例。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
44 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Hugging Face Trending Models TIER_1 English(EN) · tencent ·

    tencent/WeMM-Embedding-2B

    feature-extraction · 5,433 downloads · 68 likes