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
CLEF dual-task proper-protocol FT (seed 20261101, epoch 3) from jev-retrain MI355X run 2026-11-04
073de96 verified Download host/requirements-host.txt from macmacmacmac/CLEF-DualScreen: direct link, hf CLI and curl.
- Browser
- Download file 826 Bytes
-
https://huggingface.co/macmacmacmac/CLEF-DualScreen/resolve/main/host/requirements-host.txt
- Command line
-
hf download hf://macmacmacmac/CLEF-DualScreen/host/requirements-host.txt
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curl -L -o requirements-host.txt https://huggingface.co/macmacmacmac/CLEF-DualScreen/resolve/main/host/requirements-host.txt
826 Bytes
| # 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 | |