Instructions to use mobilint/ResNet18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/ResNet18 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="ResNet18", 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
Add ONNX model from torchvision
Browse files
resnet18_IMAGENET1K_V1.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:918a482c29d0a5d631e4fe7b4804940c732a573f58c1091efed56d4be1410737
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size 46748570
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