Instructions to use mobilint/DenseNet161 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/DenseNet161 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="DenseNet161", 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:
- ae089dc7e5d6cf224d91efe286f12c7e25f3e53cf70f21cbb56a41bd021c69b2
- Size of remote file:
- 38.5 MB
- SHA256:
- ab5d0dfafe5d649c462ed7159d2def79954437df63618f431fee433810d34c71
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