Automatic Speech Recognition
MLX
Safetensors
English
cohere_asr
speech-to-text
audio
quantized
8bit
custom_code
8-bit precision
Instructions to use beshkenadze/cohere-transcribe-03-2026-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use beshkenadze/cohere-transcribe-03-2026-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir cohere-transcribe-03-2026-mlx-8bit beshkenadze/cohere-transcribe-03-2026-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- e34e35dd62b803ba5362bcb26d30b654afacacf369f632dc5908df59a4046152
- Size of remote file:
- 493 kB
- SHA256:
- 6d21e6a83b2d0d3e1241a7817e4bef8eb63bcb7cfe4a2675af9a35ff3bbf0e14
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