Instructions to use mobilint/DeiT3_Base_Patch16_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/DeiT3_Base_Patch16_224 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="DeiT3_Base_Patch16_224", 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
Commit History
Prepare board-specific Aries Vision artifacts ca142e8 verified
Add library_name: mobilint to model card metadata d66f189 verified
Add ONNX model from timm 79c9ba1 verified
Update Mobilint logo URL in README e3a5813
Kanybek Asanbekov commited on
Add best_result.json and mxq file to aries folder and cleanup root 42c8895
Kanybek Asanbekov commited on