Instructions to use frankdu/iris-3b-Turbo-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use frankdu/iris-3b-Turbo-LiteRT 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
File size: 415 Bytes
ac49327 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"fullCpuGeneration": "PASS",
"outputDimensions": [
768,
768
],
"detail": "Published Python CPU reference with Java-compatible seed 42; all 41 graph invocations completed, no non-finite pixels",
"visualReview": "PASS_RECOGNIZABLE_APPLE",
"date": "2026-10-24",
"backend": "desktop LiteRT CPU",
"androidDeviceValidated": false,
"androidGpuValidated": false,
"tensorTpuValidated": false
}
|