Instructions to use mobilint/ViT_Base_Patch32_384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/ViT_Base_Patch32_384 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="ViT_Base_Patch32_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
Add ONNX model from timm
Browse files
vit_base_patch32_384.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9c74af1e11122e4fe9570a815197320789492feee016369d0004a2bd9b6245a
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size 353307454
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