Instructions to use litert-community/FasterRCNN-ResNet50-FPN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/FasterRCNN-ResNet50-FPN 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
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README.md
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The TFLite files use dynamic image height/width where the current CPU LiteRT
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runtime path supports it. The sample runs with `HardwareAccelerator.CPU`.
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The TFLite files use dynamic image height/width where the current CPU LiteRT
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runtime path supports it. The sample runs with `HardwareAccelerator.CPU`.
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## BibTeX entry and citation info
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```bibtex
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@inproceedings{mobilenetv22018,
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title={MobileNetV2: Inverted Residuals and Linear Bottlenecks},
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author={Mark Sandler and Andrew Howard and Menglong Zhu and Andrey Zhmoginov and Liang-Chieh Chen},
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booktitle={CVPR},
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year={2018}
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}
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```
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