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
- LM Studio
File size: 268 Bytes
23bf359 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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"
} |