Instructions to use mobilint/DenseNet201 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/DenseNet201 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="DenseNet201", 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:
- 8fb8557d64ebd0d22a97676076447a4d272ef5314e94a9e1d53ae02324819fbb
- Size of remote file:
- 37.3 MB
- SHA256:
- e1deb57afd989244787045a71f2fa1e84c37c3fa1dc9960d6a7e2b850f38dabf
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