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:
- 82cfee35f2a8c617b69db870d9ef4e30aae2f60c3400e02e8981ab4d929f2bb6
- Size of remote file:
- 92.8 MB
- SHA256:
- f85050b6895dd08410a949b8352c79c4efb87c8cf5c76f3370bbe718f6c7c725
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