Instructions to use mobilint/YOLO11l-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLO11l-cls with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLO11l-cls", 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
| {"acc": 0.77658, "timestamp": 1776461303, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "75f973af", "date": "2026-04-18_06-28-23", "time_this_iter_s": 603.2573289871216, "time_total_s": 603.2573289871216, "pid": 3771873, "hostname": "0cad359a9af6", "node_ip": "172.17.0.2", "config": {"percentile": 0.013943029144899585, "topk": 0.005360408161431273}, "time_since_restore": 603.2573289871216, "iterations_since_restore": 1, "experiment_tag": "17_percentile=0.0139,topk=0.0054"} |