Instructions to use mobilint/VisFormer_Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/VisFormer_Small with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="VisFormer_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
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license: apache-2.0
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pipeline_tag: image-classification
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license: apache-2.0
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base_model_relation: quantized
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tags:
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- mobilint
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base_model:
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- timm/visformer_small.in1k
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<div align="center">
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<a href="https://mobilint.com">
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<img src="https://raw.githubusercontent.com/mobilint/.github/main/assets/Mobilint_Logo_Primary.png?raw=true"
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width="50%"
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alt="mobilint" />
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</a>
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</div>
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# About
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This repository provides a model compiled and optimized for Mobilint NPU hardware.
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The model is packaged for deployment on Mobilint’s acceleration stack and is intended to be used within that environment.
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