You can deploy this model and start earning money today!

vokra/
wav2vec2-large-xlsr-53-chinese-zh-cn

Name: wav2vec2-large-xlsr-53-chinese-zh-cn
Availability: InStock

vokra

gguf

apache-2.0

Views

No views yet

wav2vec2-large-xlsr-53-chinese-zh-cn (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
`wav2vec2-large-xlsr-53-zh.gguf`	1217.0 MB	`950382c1333ee498aece4d55f6c6335ac1a7baaee7d3870d2841f22406cbd841`

Usage

bash

# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o wav2vec2-large-xlsr-53-zh.gguf \
  https://huggingface.co/vokra/wav2vec2-large-xlsr-53-chinese-zh-cn/resolve/main/wav2vec2-large-xlsr-53-zh.gguf

vokra-cli run --model wav2vec2-large-xlsr-53-zh.gguf --input input.wav

Provenance

Field	Value
Architecture	`wav2vec2_ctc`
Tensors	424
Upstream source	jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn (wav2vec 2.0 waveform-in encoder + optional CTC head, apache-2.0)
Upstream licence	`apache-2.0`
Licence class	`permissive`
Registry model id	`wav2vec2-large-xlsr-53-chinese-zh-cn`
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 apache-2.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Verifying this file

bash

shasum -a 256 wav2vec2-large-xlsr-53-zh.gguf
# expect: 950382c1333ee498aece4d55f6c6335ac1a7baaee7d3870d2841f22406cbd841