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
Download validation.json from frankdu/iris-3b-Turbo-LiteRT: direct link, hf CLI and curl.
- Browser
- Download file 415 Bytes
-
https://huggingface.co/frankdu/iris-3b-Turbo-LiteRT/resolve/main/validation.json
- Command line
-
hf download hf://frankdu/iris-3b-Turbo-LiteRT/validation.json
-
curl -L -o validation.json https://huggingface.co/frankdu/iris-3b-Turbo-LiteRT/resolve/main/validation.json
415 Bytes
| { | |
| "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 | |
| } | |