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:
- 62e5154027019cde55e11197bd5a3f8a9571e85de6f157924bb5f96b6315fb8a
- Size of remote file:
- 6.61 MB
- SHA256:
- e7aad69f735d7891321b06a53d91fcae985740848eed3f971818c81c79fc818c
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