Instructions to use mobilint/RegNet_Y_800MF.tv2_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/RegNet_Y_800MF.tv2_in1k with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="RegNet_Y_800MF.tv2_in1k", 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": 0.78448, "timestamp": 1777904541, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "0b1504c3", "date": "2026-05-04_23-22-21", "time_this_iter_s": 433.864670753479, "time_total_s": 433.864670753479, "pid": 2015827, "hostname": "ae30e054f296", "node_ip": "172.17.0.3", "config": {"percentile": 1.7357828546441488e-05, "topk": 0.00408542465550242}, "time_since_restore": 433.864670753479, "iterations_since_restore": 1, "experiment_tag": "10_percentile=0.0000,topk=0.0041"} |