Automatic Speech Recognition
MLX
Safetensors
English
cohere_asr
speech-to-text
audio
quantized
4bit
custom_code
4-bit precision
Instructions to use beshkenadze/cohere-transcribe-03-2026-mlx-4bit 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-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir cohere-transcribe-03-2026-mlx-4bit beshkenadze/cohere-transcribe-03-2026-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- b39b35bd2e9292605ff093cede991e48a307cc5c95a281d1054981547c868942
- Size of remote file:
- 1.51 GB
- SHA256:
- 5284ab5b678da720da092604323c7ce82cffe544e42b2da95064fbc85e281609
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