Instructions to use mobilint/CAFormer_B36 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/CAFormer_B36 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="CAFormer_B36", 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:
- 8fa81ff7c41f14fbe6ee334565b417561aa4e4f5f643213b48c24d4fabc51375
- Size of remote file:
- 396 MB
- SHA256:
- 848a6f2583a9fd2d0c180753b4ef96b0cafdd45fdc673a30f48cfe8fdaed3af0
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