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:
# pip install -U transformers accelerate # 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
Download processor_config.json from OpenMOSS-Team/MOSS-Transcribe-Diarize: direct link, hf CLI and curl.
- Browser
- Download file 292 Bytes
-
https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize/resolve/refs%2Fpr%2F25/processor_config.json
- Command line
-
hf download hf://OpenMOSS-Team/MOSS-Transcribe-Diarize@refs/pr/25/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize/resolve/refs%2Fpr%2F25/processor_config.json
292 Bytes
| { | |
| "processor_class": "MossTranscribeDiarizeProcessor", | |
| "auto_map": { | |
| "AutoProcessor": "processing_moss_transcribe_diarize.MossTranscribeDiarizeProcessor" | |
| }, | |
| "audio_tokens_per_second": 12.5, | |
| "audio_merge_size": 4, | |
| "time_marker_every_seconds": 5, | |
| "enable_time_marker": true | |
| } | |