Instructions to use Mitroshenkov87/voxprint-pyannote-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use Mitroshenkov87/voxprint-pyannote-embedding with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("Mitroshenkov87/voxprint-pyannote-embedding") 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
pyannote embedding (VOXPrint mirror)
Ungated, byte-identical mirror of pyannote/embedding
(upstream commit 4db4899737a38b2d618bbd74350915aa10293cb2), used by the VOXPrint AI Suite so that it can be
downloaded without a Hugging Face account.
- Licence: MIT, Copyright (c) 2022 CNRS (see
LICENSE). - Attribution and changes:
NOTICE.md. Original model card:UPSTREAM_README.md. Integrity:SHA256SUMS.
If you can, please use and support the upstream repository and pyannoteAI.
from pyannote.audio import Model
model = Model.from_pretrained("Mitroshenkov87/voxprint-pyannote-embedding")
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