Instructions to use litert-community/squeezenet1_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/squeezenet1_0 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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Upload squeezenet1_0_Google_Tensor_G5_apply_plugin.tflite with huggingface_hub
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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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Update README: Add model card metadata, ImageNet-1k metrics, and LiteRT usage example (#2)
- Enhanced the README.md by adding tested code along with relevant metrics (619043fcc1157cd6e0cb4f85119f7748621d39c8) - Merge branch 'pr/2' (a01aa65be89ff97b155a16294a900cd4b0a4e6d8) - Revert "Merge branch 'pr/2'" (b6189e088b9b8dc558b571b52996b8fb7eafa40c) - Reapply "Merge branch 'pr/2'" (0515da08d10d600d8a98c26795ad47d273ff9fcd) Co-authored-by: HarishPermal <HarishPermal@users.noreply.huggingface.co>903a3c0
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Updated the README file (#1)
- Enhanced the README.md by adding tested code along with relevant metrics (27ec4100b18b63e67db13ba16644c4f7f32c3c2e) Co-authored-by: sourcelite <sourcelite@users.noreply.huggingface.co>73b3ada
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Upload README.md with huggingface_hub
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Upload squeezenet1_0.tflite with huggingface_hub
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initial commit
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