Instructions to use mobilint/YOLOv5n6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLOv5n6 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLOv5n6", 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
Commit ·
d1ec80c
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Parent(s): af47776
feat: add yolov5n6.onnx file for model tracking with Git LFS
Browse files- yolov5n6.onnx +3 -0
yolov5n6.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:857fd7f77fff195d81858c4ef563daba252b1d534ea46272273c8154bb1831b5
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size 13099946
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