Instructions to use mobilint/ShuffleNet_V2_X1_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/ShuffleNet_V2_X1_0 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="ShuffleNet_V2_X1_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
Commit History
Prepare board-specific Aries Vision artifacts 6fea439 verified
Add library_name: mobilint to model card metadata aa3ba3d verified
Add ONNX model from torchvision 4d5627c verified
Update Mobilint logo URL in README 4b02da2
Kanybek Asanbekov commited on
Move mxq and best_result to aries folder and update gitattributes e5480ab
Kanybek Asanbekov commited on