pyannote.audio
PyTorch
TensorBoard
pyannote
pyannote-audio-model
audio
voice
speech
speaker
speaker-recognition
speaker-verification
speaker-identification
speaker-embedding
Instructions to use lovehunter9/pyannote-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use lovehunter9/pyannote-embedding with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("lovehunter9/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
Note mirror provenance (pyannote/embedding @ 4db4899737a38b2d618bbd74350915aa10293cb2)
Browse files
README.md
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```
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---
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## Mirror provenance
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This repository is an unmodified copy of [`pyannote/embedding`](https://huggingface.co/pyannote/embedding)
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at commit `4db4899737a38b2d618bbd74350915aa10293cb2`, mirrored on 2026-08-12 so that it can be fetched without
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the upstream access form. No weights, configuration or licence terms were changed;
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all credit and the original licence remain with the upstream authors.
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