Instructions to use litert-community/resnet152 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/resnet152 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
Commit History
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Update validated TorchVision exports and compatibility documentation
Verified signaturePublish the reviewed model files and current CPU/GPU/NPU compatibility table.0c1486e
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Update model card
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Add static INT8 channelwise ResNet152 model
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Update optimized LiteRT model files
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Restore previous model card
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Upload GPU-compatible LiteRT artifacts
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Updated README.md (#2)
- Updated README.md (cab72edce63823ee832e527e310e62cbf47705d5) Co-authored-by: Akash Verma <akashvverma1995@users.noreply.huggingface.co>8f648cb
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Update README: Add model card metadata, ImageNet-1k metrics, and LiteRT usage example (#1)
- Update README: Add model card metadata, ImageNet-1k metrics, and LiteRT usage example (9df4a15a774a285f250eb4f1373eab1260c49e05) Co-authored-by: Akash Verma <akashvverma1995@users.noreply.huggingface.co>82b708e
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Create README.md
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Upload folder using huggingface_hub
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initial commit
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