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:
- d798b156f08d17acce3512e6c5c739d8ae2b2df599d2140c7ceb7c8b39bba558
- Size of remote file:
- 1.53 GB
- SHA256:
- 6c14d5adee5f86394037b4e4e8b59f1673b6cee10e3cf0b11bbdbee79c156208
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