Instructions to use mlx-community/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mlx-community/whisper-tiny")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mlx-community/whisper-tiny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "n_mels": 80, | |
| "n_audio_ctx": 1500, | |
| "n_audio_state": 384, | |
| "n_audio_head": 6, | |
| "n_audio_layer": 4, | |
| "n_vocab": 51865, | |
| "n_text_ctx": 448, | |
| "n_text_state": 384, | |
| "n_text_head": 6, | |
| "n_text_layer": 4, | |
| "model_type": "whisper" | |
| } |