Instructions to use mobilint/DenseNet169 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/DenseNet169 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="DenseNet169", 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:
- d332e02af1d2a89c54452134cd66e07a870644e66e605eed46e1e8f1bc3e5b26
- Size of remote file:
- 26.4 MB
- SHA256:
- 0371389c6c918734d14ddab1412df35e200b25d25f42a2373565c35a0b8db63c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.