Instructions to use bumstern/segmentation_model_russian_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use bumstern/segmentation_model_russian_data with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("bumstern/segmentation_model_russian_data") inference = Inference(model) # inference on the whole file inference("file.wav") # inference on an excerpt from pyannote.core import Segment excerpt = Segment(start=2.0, end=5.0) inference.crop("file.wav", excerpt) - Notebooks
- Google Colab
- Kaggle
| clustering: | |
| method: ward | |
| min_cluster_size: 15 | |
| threshold: 1.3484810482361151 | |
| segmentation: | |
| min_duration_off: 0.0 | |
| threshold: 0.35812231781811055 | |