Instructions to use mobilint/RepViT_M3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/RepViT_M3 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="RepViT_M3", 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:
- 184f1a7c4757480d3aea9a657c7869c99f58596768a495f12e336313d6ec1524
- Size of remote file:
- 42.7 MB
- SHA256:
- 907603fa784bf033e4ece170c3cc17d0eb5749864e39ab160dfe50680c1c92d5
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