Automatic Speech Recognition
Safetensors
MLX
mlx-audio-plus
whisper
speech-recognition
speech-to-text
stt
Instructions to use mlx-community/whisper-base-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/whisper-base-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-base-8bit mlx-community/whisper-base-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "n_mels": 80, | |
| "n_audio_ctx": 1500, | |
| "n_audio_state": 512, | |
| "n_audio_head": 8, | |
| "n_audio_layer": 6, | |
| "n_vocab": 51865, | |
| "n_text_ctx": 448, | |
| "n_text_state": 512, | |
| "n_text_head": 8, | |
| "n_text_layer": 6, | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "model_type": "whisper" | |
| } |