Audio-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_transcribe_diarize
text-generation
moss
audio
speech
asr
diarization
timestamp-asr
long-form-audio
multimodal
multilingual
custom_code
Eval Results
Instructions to use OpenMOSS-Team/MOSS-Transcribe-Diarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/MOSS-Transcribe-Diarize with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/MOSS-Transcribe-Diarize", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
List languages in MLC-SLM announcement
Browse files
README.md
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## News
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* 2026-07-14: 🏆 MOSS-Transcribe-Diarize won first place in the [2nd MLC-SLM Challenge](https://www.nexdata.ai/competition/mlc-slm) at INTERSPEECH 2026, spanning 14 languages.
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* 2026-07-09: Released MOSS-Transcribe-Diarize 0.9B.
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## Contents
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## News
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* 2026-07-14: 🏆 MOSS-Transcribe-Diarize won first place in the [2nd MLC-SLM Challenge](https://www.nexdata.ai/competition/mlc-slm) at INTERSPEECH 2026, spanning 14 languages (English (en), French (fr), German (de), Italian (it), Portuguese (pt), Spanish (es), Japanese (jp), Korean (ko), Russian (ru), Thai (th), Vietnamese (vi), Tagalog (tl), Urdu (ur), Turkish (tr)).
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* 2026-07-09: Released MOSS-Transcribe-Diarize 0.9B.
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## Contents
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