Instructions to use mobilint/FlexiViT_Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/FlexiViT_Large with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="FlexiViT_Large", 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
Prepare board-specific Aries Vision artifacts
Browse files
aries-rb/best_result.json
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{"acc": 0.8554, "timestamp": 1779264556, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "55605c28", "date": "2026-05-20_17-09-16", "time_this_iter_s": 1812.7566475868225, "time_total_s": 1812.7566475868225, "pid": 2833264, "hostname": "ae30e054f296", "node_ip": "172.17.0.3", "config": {"percentile": 0.004944080420809455, "topk": 0.003631150989290914}, "time_since_restore": 1812.7566475868225, "iterations_since_restore": 1, "experiment_tag": "7_percentile=0.0049,topk=0.0036"}
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