Automatic Speech Recognition
MLX
Safetensors
Danish
cohere_asr
audio
speech-recognition
transcription
danish
apple-silicon
quant
custom_code
Instructions to use rasgaard/hviske-v5.3-mlx-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use rasgaard/hviske-v5.3-mlx-int8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir hviske-v5.3-mlx-int8 rasgaard/hviske-v5.3-mlx-int8
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- e34e35dd62b803ba5362bcb26d30b654afacacf369f632dc5908df59a4046152
- Size of remote file:
- 493 kB
- SHA256:
- 6d21e6a83b2d0d3e1241a7817e4bef8eb63bcb7cfe4a2675af9a35ff3bbf0e14
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