Instructions to use mobilint/EfficientNet_V2_S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/EfficientNet_V2_S with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="EfficientNet_V2_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
Prepare board-specific Aries Vision artifacts
Browse files
aries-rb/efficientnet_v2_s_IMAGENET1K_V1.mxq
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ff9128d6f69319837d28292165fbd66438f60bac04752ae3e3f5c281f304cb2
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size 26360440
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