Instructions to use mobilint/EfficientFormer_L3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/EfficientFormer_L3 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="EfficientFormer_L3", 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
Kanybek Asanbekov commited on
Commit ·
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Parent(s): 1a560ac
Add best_result.json and mxq file to aries folder and cleanup root
Browse files- .gitattributes +1 -0
- aries/best_result.json +1 -0
- aries/efficientformer_l3.mxq +3 -0
.gitattributes
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aries/best_result.json
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{"acc": 0.80836, "timestamp": 1779214310, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "192d024d", "date": "2026-05-20_03-11-50", "time_this_iter_s": 568.6430711746216, "time_total_s": 568.6430711746216, "pid": 2700660, "hostname": "ae30e054f296", "node_ip": "172.17.0.3", "config": {"percentile": 0.008588227082703778, "topk": 0.021589119600906304}, "time_since_restore": 568.6430711746216, "iterations_since_restore": 1, "experiment_tag": "15_percentile=0.0086,topk=0.0216"}
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aries/efficientformer_l3.mxq
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version https://git-lfs.github.com/spec/v1
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oid sha256:de732165c481109f8c0b2a2745380ab7b3473b2a56ae90602c6a3d56255ef91e
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size 35086949
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