Instructions to use HashNuke/whisper-medium-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use HashNuke/whisper-medium-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-medium-mlx HashNuke/whisper-medium-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download config.json from HashNuke/whisper-medium-mlx: direct link, hf CLI and curl.
- Browser
- Download file 268 Bytes
-
https://huggingface.co/HashNuke/whisper-medium-mlx/resolve/main/config.json
- Command line
-
hf download hf://HashNuke/whisper-medium-mlx/config.json
-
curl -L -o config.json https://huggingface.co/HashNuke/whisper-medium-mlx/resolve/main/config.json
268 Bytes
| { | |
| "n_mels": 80, | |
| "n_audio_ctx": 1500, | |
| "n_audio_state": 1024, | |
| "n_audio_head": 16, | |
| "n_audio_layer": 24, | |
| "n_vocab": 51865, | |
| "n_text_ctx": 448, | |
| "n_text_state": 1024, | |
| "n_text_head": 16, | |
| "n_text_layer": 24, | |
| "model_type": "whisper" | |
| } |