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We turned EmbeddingGemma 2 into a speech-to-text model

Researchers demonstrated converting EmbeddingGemma 2 into an speech-to-text model, representing a novel cross-modal adaptation of Google's lightweight language model. The project showcases creative model repurposing without traditional fine-tuning pipelines.

Background

Google released EmbeddingGemma as a lightweight alternative to larger language models, designed primarily for embedding tasks. This work explores adapting it for speech-to-text, expanding its use cases.

Source
Hacker News (RSS)
Published
Oct 13, 2026 at 07:27 PM
Score
7.0 / 10