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:
- a09ebf900400b40a510c08bdcd4244c9a80bb3756254b23efb1f9e388d16625f
- Size of remote file:
- 5.21 MB
- SHA256:
- 6af09f62af980e81c178e8debaac5e63292f00b61e2a8b148081b497a1a887c6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.