Audio-Text-to-Text
Transformers
Safetensors
English
Chinese
moss_transcribe_diarize
text-generation
moss
audio
speech
asr
diarization
timestamp-asr
long-form-audio
multimodal
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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 292 Bytes
0844c4a | 1 2 3 4 5 6 7 8 9 10 11 | {
"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
}
|