Instructions to use mobilint/YOLOv10n with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLOv10n with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLOv10n", 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 ·
bdcedfb
1
Parent(s): fc18e57
feat: add yolov10n.onnx file for model tracking with Git LFS
Browse files- yolov10n.onnx +3 -0
yolov10n.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:0027e40d2499255fee0176c6153f89f6cf3156cfe7c65f658ba09cb460ba5e25
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size 9427056
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