Automatic Speech Recognition
MLX
Safetensors
granite_speech
mlx-audio
speech-to-text
speech-translation
granite
granite-speech
autoregressive
quantized
5-bit
Instructions to use divydeep/granite-speech-4.1-2b-mlx-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use divydeep/granite-speech-4.1-2b-mlx-5bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir granite-speech-4.1-2b-mlx-5bit divydeep/granite-speech-4.1-2b-mlx-5bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 56a901db7debfff8ab1698813c289bb120fb403ecdb99e18df87592edb29ec76
- Size of remote file:
- 2.8 GB
- SHA256:
- f9800db1b68ebf112d29b337a9d923892ff0e7a36b8b56f3718be057d04008d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.