Instructions to use mobilint/YOLOv9s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/YOLOv9s with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="YOLOv9s", 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": 0.45637327050358695, "timestamp": 1778624208, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "ee0bd260", "date": "2026-05-13_07-16-48", "time_this_iter_s": 456.27096343040466, "time_total_s": 456.27096343040466, "pid": 228641, "hostname": "0cad359a9af6", "node_ip": "172.17.0.5", "config": {"percentile": 0.028506416051138073, "topk": 0.00479907550207437}, "time_since_restore": 456.27096343040466, "iterations_since_restore": 1, "experiment_tag": "8_percentile=0.0285,topk=0.0048"} |