Instructions to use mobilint/RepViT_M2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/RepViT_M2 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="RepViT_M2", 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:
- 23abe88971b17b95cae8b948149e83158512dead4aaea663c506e186d677dc02
- Size of remote file:
- 35.2 MB
- SHA256:
- 100209fce7a3dda1876a154110024d38a43eefd71f964c1770f2622636a6f73c
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