Instructions to use mobilint/FlexiViT_Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/FlexiViT_Base with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="FlexiViT_Base", 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": 0.84484, "timestamp": 1779247943, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "ca463253", "date": "2026-05-20_12-32-23", "time_this_iter_s": 919.2902157306671, "time_total_s": 919.2902157306671, "pid": 2745684, "hostname": "ae30e054f296", "node_ip": "172.17.0.3", "config": {"percentile": 0.007344840322703966, "topk": 0.02815687145199326}, "time_since_restore": 919.2902157306671, "iterations_since_restore": 1, "experiment_tag": "16_percentile=0.0073,topk=0.0282"}
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