Download conf/config.yaml from OneScience-Group/Climate2Weather: direct link, hf CLI and curl.
- Browser
- Download file 644 Bytes
-
https://huggingface.co/OneScience-Group/Climate2Weather/resolve/main/conf/config.yaml
- Command line
-
hf download hf://OneScience-Group/Climate2Weather/conf/config.yaml
-
curl -L -o config.yaml https://huggingface.co/OneScience-Group/Climate2Weather/resolve/main/conf/config.yaml
644 Bytes
| seed: 42 | |
| data: {path: data/downscale.npz, samples: 6, variables: 4, window: 3, coarse_grid: [8, 8], fine_grid: [128, 128]} | |
| model: {channels: 12, hidden: 16} | |
| train: {epochs: 1, learning_rate: 0.001} | |
| inference: {members: 8, denoise_steps: 4} | |
| paths: {checkpoint: result/checkpoints/climate2weather.pt, training_metrics: result/training/metrics.json, predictions: result/output/predictions.npz, evaluation: result/evaluation/metrics.json, figure: result/evaluation/comparison.png} | |
| paper_model: {variables: [uas, vas, tas, psl], coarse_grid: [8, 8], fine_grid: [128, 128], coarse_hours: 6, fine_hours: 1, train_years: [2006, 2013], test_year: 2014} | |