Instructions to use mobilint/MNASNet1_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/MNASNet1_0 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="MNASNet1_0", 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:
- 1cdae54940954b16915c86cd42cc1073a6c88896c1f45c8d74732091fc396922
- Size of remote file:
- 17.5 MB
- SHA256:
- 6cd927368a831cee2659e0cce89ff077cb1244e2f4c91d8a8144150484df7a75
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