Automatic Speech Recognition
MLX
Russian
speech-recognition
russian
offline
apple
apple-silicon
ios
ipados
macos
rnnt
conformer
sentencepiece
native-apple
Instructions to use kruatech/gigaam-v3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kruatech/gigaam-v3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gigaam-v3-mlx kruatech/gigaam-v3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- d4e6d92f34a14d8070a7090ac9bf91b1afaf9b88054ea1eaa2ca04f07737d4b3
- Size of remote file:
- 1.28 kB
- SHA256:
- 834a6744851a775dbb1831e9e17f0f702599b4d52c1d97d7638b3f170824419f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.