Instructions to use litert-community/iris-3b-Turbo-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use litert-community/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
iris-3b Turbo on LiteRT: 20 fp16-weight graphs for the phone GPU at FP32, a Python reference pipeline and the Android engine
743fd20 verified Download python/requirements.txt from litert-community/iris-3b-Turbo-LiteRT: direct link, hf CLI and curl.
- Browser
- Download file 47 Bytes
-
https://huggingface.co/litert-community/iris-3b-Turbo-LiteRT/resolve/main/python/requirements.txt
- Command line
-
hf download hf://litert-community/iris-3b-Turbo-LiteRT/python/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/litert-community/iris-3b-Turbo-LiteRT/resolve/main/python/requirements.txt
47 Bytes
| ai-edge-litert==2.2.0 | |
| numpy>=1.26 | |
| regex | |
| pillow | |