Instructions to use macmacmacmac/CLEF-DualScreen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use macmacmacmac/CLEF-DualScreen 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: 826 Bytes
073de96 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | # The clef-flash LiteRT host (host/clef_litert) and examples/run_example.py, as tested: Python 3.14.6, macOS 27.0 # (arm64), `pip install -r host/requirements-host.txt` into a new venv. The package imports numpy, tokenizers and # pillow, and ai-edge-litert when it compiles a graph; the other lines are what pip installed with these four # (tokenizers declares huggingface_hub, which the host never imports). No torch, no transformers. ai-edge-litert==2.2.0 anyio==4.15.1 backports.strenum==1.2.8 certifi==2026.10.19 click==8.5.0 filelock==4.2.4 flatbuffers==25.12.19 fsspec==2026.9.0 h11==0.16.0 hf-xet==1.7.0 httpcore==1.0.9 httpx==0.28.1 huggingface_hub==1.33.0 idna==3.20 ml_dtypes==0.6.0 numpy==2.5.3 packaging==26.3 pillow==12.3.0 protobuf==7.36.2 PyYAML==6.0.3 tokenizers==0.23.2 tqdm==4.70.1 typing_extensions==4.16.0 |