Instructions to use mobilint/RepViT_M2_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Mobilint
How to use mobilint/RepViT_M2_3 with Mobilint:
# pip install mblt-model-zoo from mblt_model_zoo.vision import MBLT_Engine model = MBLT_Engine( model_cls="RepViT_M2_3", 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 library_name: mobilint to model card metadata
Browse files
README.md
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---
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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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---
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library_name: mobilint
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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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