Automatic Speech Recognition
LiteRT
LiteRT
ONNX
speech
speech-recognition
transcription
word-timestamps
on-device
core-ml
apple-neural-engine
multilingual
Instructions to use desert-ant-labs/voz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use desert-ant-labs/voz with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Decoder with narrow decode steps
Verified signaturedecoder.mlmodelc is now a multifunction model: the 16-lane decode step as main, and the same step at 8, 4, 2 and 1 lanes as decoder_8 ... decoder_1. int8 per-channel weights, shared across the functions (12 MB, was 15 MB). Built by voz-training's build_voz.py. Needs a desert-ant-core with narrow-step decoding; an older SDK loads main and runs as before.20e1118