Instructions to use mobilint/ViT_Base_Patch16_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/ViT_Base_Patch16_384 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="ViT_Base_Patch16_384", 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 ·
fba9718
1
Parent(s): 3a88587
Add Aries artifacts
Browse files- aries/best_result.json +1 -0
- aries/vit_base_patch16_384.mxq +3 -0
aries/best_result.json
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{"acc": 0.8586, "timestamp": 1779483039, "checkpoint_dir_name": null, "done": true, "training_iteration": 1, "trial_id": "19feac8a", "date": "2026-05-23_05-50-39", "time_this_iter_s": 1620.5955865383148, "time_total_s": 1620.5955865383148, "pid": 3491794, "hostname": "ae30e054f296", "node_ip": "172.17.0.3", "config": {"percentile": 0.013076554443655707, "topk": 0.004941333284204119}, "time_since_restore": 1620.5955865383148, "iterations_since_restore": 1, "experiment_tag": "16_percentile=0.0131,topk=0.0049"}
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aries/vit_base_patch16_384.mxq
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version https://git-lfs.github.com/spec/v1
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oid sha256:db2232aa2beee5b51bc588a8fd8e1abaa99def43659f75f7dab3c640f95cdaa8
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size 98667585
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