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:
- cd8e80a6f7901266e3a1392193bf70d25ffe54f084375a0a4d51aa92b85a95eb
- Size of remote file:
- 445 MB
- SHA256:
- 2ff6d955a61003e0d3cb2155be36c14aa3df69c879713f30880ddd07d71fde21
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