vokra/pyannote-wespeaker-voxceleb-resnet34-lm
pyannote-wespeaker-voxceleb-resnet34-lm (Vokra GGUF)
Converted to the Vokra GGUF format for Vokra, a zero-dependency speech-AI inference runtime.
This is a conversion, not a new model. The weights are the upstream ones; Vokra re-packages them so its runtime can memory-map them directly. Credit for the model belongs upstream — see Source below.
Files
Usage
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o pyannote-wespeaker.restamped.gguf \
https://huggingface.co/vokra/pyannote-wespeaker-voxceleb-resnet34-lm/resolve/main/pyannote-wespeaker.restamped.ggufvokra-cli run --model pyannote-wespeaker.restamped.gguf --input input.wavProvenance
Every row above is read out of this file's own vokra.* metadata, so the card cannot claim something the artifact does not carry.
Licence
The weights are distributed under cc-by-4.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.
Attribution required
pyannote / Herve Bredin (WeSpeaker ResNet34 on VoxCeleb + LM, CC-BY-4.0)
This licence obliges you to display the attribution above when you ship something built on these weights. Vokra surfaces it at runtime via vokra_model_attribution (C ABI) and a CLI banner.
Verifying this file
shasum -a 256 pyannote-wespeaker.restamped.gguf
# expect: 6dccbc026e9c32a8f99f3441e64f1ff52e36afb055442595c86cda8021c78c39