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
Remove Star History section
Browse files
README.md
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- [Custom Prompt and Hotwords](#custom-prompt-and-hotwords)
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- [Subtitle Web App](#subtitle-web-app)
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- [Citation](#citation)
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- [Star History](#star-history)
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## Introduction
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url={https://arxiv.org/abs/2601.01554}
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}
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```
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## Star History
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<p align="center">
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<a href="https://www.star-history.com/#OpenMOSS/MOSS-Transcribe-Diarize&Date">
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<img width="700" alt="Star History Chart" src="https://api.star-history.com/svg?repos=OpenMOSS%2FMOSS-Transcribe-Diarize&type=Date">
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</a>
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</p>
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- [Custom Prompt and Hotwords](#custom-prompt-and-hotwords)
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- [Subtitle Web App](#subtitle-web-app)
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- [Citation](#citation)
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## Introduction
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url={https://arxiv.org/abs/2601.01554}
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}
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```
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