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
Add ONNX model from timm
Browse files- repvit_m3.onnx +3 -0
repvit_m3.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:907603fa784bf033e4ece170c3cc17d0eb5749864e39ab160dfe50680c1c92d5
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size 42742062
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