Instructions to use DUTAOZHANG/Styele2Code_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use DUTAOZHANG/Styele2Code_model2 with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("DUTAOZHANG/Styele2Code_model2") 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:
- 5e20aa9e6de86c4c3cdd56c54ea997078d9f68a211360c69a51c892860702882
- Size of remote file:
- 9.41 GB
- SHA256:
- 1e993f59c766215291b37bafb35b2f4435df2d0d10002a5e4cb5798c162ca293
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