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Tencent releases multimodal embedding model WeMM-Embedding-2B

By PulseAugur Editorial · [1 sources] ·

Tencent has released WeMM-Embedding-2B, a multimodal embedding model built on the Qwen 3.5 architecture. This model is capable of processing text, images, videos, and visual documents to generate 2,048-dimensional embeddings, though it does not support audio input. It is designed for integration with popular libraries such as Hugging Face's Transformers and sentence-transformers, with usage examples and installation instructions provided. AI

IMPACT Enables new multimodal applications by providing a versatile embedding model for text, images, and video.

RANK_REASON Release of a new multimodal embedding model with usage examples. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Trending Models →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tencent releases multimodal embedding model WeMM-Embedding-2B

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0 / 100
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Tool
Release of a new multimodal embedding model with usage examples. [lever_c_demoted from research: ic=1 ai=1.0]
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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.
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model release, product
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High
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32 days old
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COVERAGE [1]

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

    tencent/WeMM-Embedding-2B

    feature-extraction · 5,433 downloads · 68 likes

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