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Hugging Face Transformers v5.19.0 adds Gemma 2, updates MoE models

The Hugging Face Transformers library has released version 5.19.0, introducing new model additions and significant changes to existing functionalities. Key updates include the EmbeddingGemma2 model, built on Google's Gemma 4 architecture, which supports multimodal embeddings. The release also standardizes the return of router logits for MoE models, aligning with the Qwen3-MoE pattern, and modifies the behavior of Owlv2ForObjectDetection for improved query selection. Additionally, the library deprecates the "paged|" prefix for attention implementations, favoring direct support for continuous batching with Flash Attention and SDPA. AI

IMPACT Updates to Hugging Face Transformers library improve multimodal capabilities and optimize model performance for developers.

RANK_REASON This is a library release with new model additions and updates to existing functionalities, not a frontier model release from a major lab.

Read on Transformers — Releases →

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

Hugging Face Transformers v5.19.0 adds Gemma 2, updates MoE models

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This is a library release with new model additions and updates to existing functionalities, not a frontier model release from a major lab.
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COVERAGE [1]

  1. Transformers — Releases TIER_1 (SL) · vasqu ·

    Release v5.19.0

    <h1>Release v5.19.0</h1> <h2>New Model additions</h2> <h3>EmbeddingGemma2</h3> <a href="https://private-user-images.githubusercontent.com/73884904/666833754-84734e74-163d-4d12-b166-ffcf6749d563.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3L…