Instructions to use litert-community/swin_base_patch4_window7_224.ms_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/swin_base_patch4_window7_224.ms_in1k with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update model card
Browse files
README.md
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library_name: litert
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base_model: timm/swin_base_patch4_window7_224.ms_in1k
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pipeline_tag: image-classification
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These artifacts are intended for LiteRT CPU and GPU execution.
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MediaTek NPU enablement for the static INT8 channelwise artifact is still under validation. LiteRT AOT compilation for mt6993 did not complete in this release run, so this repository does not mark that artifact as MediaTek-NPU-ready yet.
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## Intended Uses & Limitations
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---
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license: mit
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library_name: litert
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base_model: timm/swin_base_patch4_window7_224.ms_in1k
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pipeline_tag: image-classification
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These artifacts are intended for LiteRT CPU and GPU execution.
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Enablement for other NPU backends is still under validation.
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## Intended Uses & Limitations
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