MOSI (@MosiAI_Official)
@MosiAI_Official
Our mission is to build the best multimodal models.
TTS｜ASR｜Video｜Multimodal
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🤗 MOSS-Transcribe-Diarize-0.9B is now open source on @huggingface.
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
Thank you @sgl_project @vllm_project @Prince_Canuma @lllucas for day-0 support! 🚀
Github:
Huggingface:
API:
Live demo:
Technical Report：
HF Space:
AtomGit：
SGLang-Omni:
vLLM:
MLX-audio:
Discord:
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