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Hugging Face Transformers v5.17.0 adds HYV4, VibeVoice, NeoMME, and more

By PulseAugur Editorial · [1 sources] ·

The Hugging Face Transformers library has released version 5.17.0, introducing several new models and frameworks. Notable additions include HYV4, a 780B-parameter mixture-of-experts language model with a 1M token context window, and VibeVoice, a diffusion-based framework for high-fidelity speech synthesis. The release also features NeoMME, a multimodal-native multilingual foundation encoder, and Fun-ASR-Nano, an efficient end-to-end speech recognition model supporting multiple languages and dialects. Additionally, Kimi Linear, a hybrid linear attention architecture, and Canary, a multilingual ASR and speech-to-text translation model, are now available. AI

IMPACT Expands the toolkit for AI developers with new models for language, speech synthesis, multimodal understanding, and speech recognition.

RANK_REASON This is a software library release with new model additions, not a frontier model release from a primary lab.

Read on Transformers — Releases →

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

Hugging Face Transformers v5.17.0 adds HYV4, VibeVoice, NeoMME, and more

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Tool
This is a software library release with new model additions, not a frontier model release from a primary lab.
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COVERAGE [1]

  1. Transformers — Releases TIER_1 English(EN) · vasqu ·

    Release 5.17.0

    <h1>Release v5.17.0</h1> <h2>New Model additions</h2> <h3>HYV4</h3> <a href="https://private-user-images.githubusercontent.com/73884904/648777072-e6ed85ee-eb1d-40eb-a0d4-c649f6337ca9.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVz…

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