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
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
Update PyTorch install command in README
Browse files
README.md
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@@ -173,7 +173,7 @@ conda activate moss-transcribe-diarize
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git clone https://github.com/OpenMOSS/MOSS-Transcribe-Diarize.git
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cd MOSS-Transcribe-Diarize
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pip install torch torchaudio
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pip install -e .
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```
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git clone https://github.com/OpenMOSS/MOSS-Transcribe-Diarize.git
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cd MOSS-Transcribe-Diarize
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pip install --index-url https://download.pytorch.org/whl/cu128 torch torchaudio
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pip install -e .
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```
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