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OpenMOSS-Team
/
MOSS-Transcribe-Diarize

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
Model card Files Files and versions
xet
Community
15

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, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Field report: benchmarked on real French meetings vs human reference — shipped as a backend (+ one failure mode you may want to know about)

🔥 2
1
#15 opened 1 day ago by
martossien

new

#14 opened 1 day ago by
ANAS12345Nouri

Is the model multilingual?

8
#13 opened 3 days ago by
mllearner123
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