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
Add MLC-SLM Challenge link to README
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 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.
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* 2026-07-09: Released MOSS-Transcribe-Diarize 0.9B.
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## Contents
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