Instructions to use mobilint/YOLOv8l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLOv8l with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLOv8l", 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:
- f492bc067070408a57e9068744fe7abdedcd2a900ba2659bb2a80403248bf101
- Size of remote file:
- 175 MB
- SHA256:
- 8c56dd3bbc2c9203b41d2be6b76c0781fc202fb03404d1fd073d542ac692449f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.