@Open_MOSS: MOSS-Transcribe-Diarize is among the top trending models on @huggingface . A few weeks after release, the model has bee…

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Summary

MOSS-Transcribe-Diarize, an open-source ASR model with multi-speaker diarization and hotword biasing, trends on Hugging Face after release.

MOSS-Transcribe-Diarize is among the top trending models on @huggingface . A few weeks after release, the model has been explored by developers and researchers worldwide.@MosiAI_Official Built with an end-to-end audio-to-structured-transcript paradigm: • 0.9B open-source ASR model • Apache license 2.0 • 128k long-context transcription • Up to ~90-min audio input • Speaker labels + timestamps in one generation • Multi-speaker diarization for meetings, interruptions, and overlapping voices • Hotword biasing for names, terms, and domain-specific vocabulary • ~100 token/s on NVIDIA RTX 4090, RTF ~0.017 If you haven't
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Cached at: 07/16/26, 06:21 PM

MOSS-Transcribe-Diarize is among the top trending models on @huggingface .

A few weeks after release, the model has been explored by developers and researchers worldwide.@MosiAI_Official

Built with an end-to-end audio-to-structured-transcript paradigm: • 0.9B open-source ASR model • Apache license 2.0 • 128k long-context transcription • Up to ~90-min audio input • Speaker labels + timestamps in one generation • Multi-speaker diarization for meetings, interruptions, and overlapping voices • Hotword biasing for names, terms, and domain-specific vocabulary • ~100 token/s on NVIDIA RTX 4090, RTF ~0.017

If you haven’t

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