Instructions to use mobilint/YOLOv10b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLOv10b with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLOv10b", 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:
- d6ce1062f3d46bf12f4cba112f3d9c2e7d990e19224874707909c55280978884
- Size of remote file:
- 22.5 MB
- SHA256:
- 83114143bf6fdb0f72ee637938a8f1f6c9d49432b9fd87f5421b159ad2cd612d
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