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
- Xet hash:
- c86b2872c8291d413671c9fcf16c8d595d00570328a3571fad61e0079b009905
- Size of remote file:
- 2.75 MB
- SHA256:
- 1fd3da1153ab43b799e0c516408af07d4bf19a9250dab2865f145c1d5ed867ec
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