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:
- 15a3970447c27c7de2e2c5b3f620b38824f0e1b12ad542cf7221398876af7667
- Size of remote file:
- 116 MB
- SHA256:
- cee9031967bc0015c7271bbcfcc87a18a6a6cd49f78f6ea3ac0efee9351a782d
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