voice-gender-classifier (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

File	Size	SHA-256
voice-gender-classifier.restamped.gguf	59.0 MB	e1e61f1493601087f5db5867c4f750ec99d6b11223b5323bd120e3c21e8f957f

Usage

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o voice-gender-classifier.restamped.gguf \
  https://huggingface.co/vokra/voice-gender-classifier/resolve/main/voice-gender-classifier.restamped.gguf

vokra-cli run --model voice-gender-classifier.restamped.gguf --input input.wav

Provenance

Field	Value
Architecture	ecapa_tdnn
Tensors	202
Upstream source	JaesungHuh/voice-gender-classifier
Upstream licence	mit
Licence class	permissive
Registry model id	voice-gender-classifier
Vokra GGUF schema	1
Converted by	vokra-core 0.1.0-alpha.0

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 mit, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Attribution required

JaesungHuh (Voice Gender Classifier, MIT)

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 voice-gender-classifier.restamped.gguf
# expect: e1e61f1493601087f5db5867c4f750ec99d6b11223b5323bd120e3c21e8f957f