Automatic Speech Recognition
Transformers
asr
speaker-diarization
timestamps
quantization
low-bit
arm
on-device
Instructions to use yongyizang/TinyMOSS-Diarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yongyizang/TinyMOSS-Diarize with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yongyizang/TinyMOSS-Diarize")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yongyizang/TinyMOSS-Diarize", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 292 Bytes
7ccb33d | 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
}
|