Instructions to use mobilint/whisper.cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/whisper.cpp with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="whisper.cpp", model_type="DEFAULT", model_path="", core_mode="global8", ) try: image = model.preprocess("path/to/image.jpg") output = model(image) result = model.postprocess(output) finally: model.dispose() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8000973f527b1d4d75b4f04792683dc9f4719a978cf3e0c41dd00fa81d7c351e
- Size of remote file:
- 159 MB
- SHA256:
- e09960533ccd85dbb9fb32a5e1ebf0bfab7813b9bd563f3c270f909b9d7717ad
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