Audio-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_transcribe_diarize
text2text-generation
moss
audio
speech
asr
diarization
timestamp-asr
long-form-audio
multimodal
multilingual
custom_code
Eval Results
Instructions to use itazap/MOSS-Transcribe-Diarize-HF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itazap/MOSS-Transcribe-Diarize-HF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMultimodalLM model = AutoModelForMultimodalLM.from_pretrained("itazap/MOSS-Transcribe-Diarize-HF", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Copy of OpenMOSS-Team/MOSS-Transcribe-Diarize
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