Instructions to use mobilint/Swin_S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/Swin_S with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="Swin_S", 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
Update ONNX model from torchvision
Browse files
swin_s_IMAGENET1K_V1.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:65a55cfd8c630a76856c4a39ed29efc368c6a0b6eec716e30456408df3da99b2
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size 203380905
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