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
| { | |
| "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 | |
| } | |