Instructions to use mobilint/ConvNeXt_Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/ConvNeXt_Small with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="ConvNeXt_Small", 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
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Parent(s): 41e31b5
Add aries results
Browse files
aries/best_result.json
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{"acc": 0.83434, "timestamp": 1776341700, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "47dad550", "date": "2026-04-16_21-15-00", "time_this_iter_s": 2054.8065872192383, "time_total_s": 2054.8065872192383, "pid": 336835, "hostname": "ae30e054f296", "node_ip": "172.17.0.3", "config": {"percentile": 1.1775652894406953e-05, "topk": 0.04832098518119805}, "time_since_restore": 2054.8065872192383, "iterations_since_restore": 1, "experiment_tag": "12_percentile=0.0000,topk=0.0483"}
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aries/convnext_small_IMAGENET1K_V1.mxq
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e40d4b87071f671390a8f9165ee6ee476d6990a3e0774d3ea4265ca066e0623
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size 56744928
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