Instructions to use medkit/simsamu-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use medkit/simsamu-segmentation with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("medkit/simsamu-segmentation") 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:
- ab5463afc67f42935a2e65ff8d5a1e890d9ea6f3c0d3ee0abb004bf4d9fcd940
- Size of remote file:
- 5.91 MB
- SHA256:
- e9273c4e22353e55534bf86dae625cba4f57a4552ed17db05c37a7c0c89822bd
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