Instructions to use litert-community/resnext50_32x4d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/resnext50_32x4d 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
Upload GPU-compatible LiteRT artifacts
Browse files- README.md +23 -0
- resnext50_32x4d.tflite +3 -0
- resnext50_32x4d_dynamic_wi8_afp32.tflite +3 -0
README.md
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---
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library_name: litert
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tags:
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- litert
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- tflite
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- vision
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- image-classification
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datasets:
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- imagenet-1k
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---
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# resnext50_32x4d
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LiteRT TFLite conversion of the TorchVision `resnext50_32x4d` model.
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## Files
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- `resnext50_32x4d.tflite`
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- `resnext50_32x4d_dynamic_wi8_afp32.tflite`
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## Notes
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These artifacts were compiled with the LiteRT GPU compatibility profile and validated with LiteRT Python GPU execution.
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resnext50_32x4d.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6b008916837eee6c96385b342ba10a9885b6599c9bc3182dd3de4e0129d0fc1
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size 100716912
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resnext50_32x4d_dynamic_wi8_afp32.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:0495817e2224cf22c65a251093a0612b8d36a273b0e73d26f4a33a74af310884
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size 26299200
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