Download config.json from OneScience-Group/NeuralConvection-2D-CompactFNO: direct link, hf CLI and curl.
- Browser
- Download file 464 Bytes
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https://huggingface.co/OneScience-Group/NeuralConvection-2D-CompactFNO/resolve/main/config.json
- Command line
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hf download hf://OneScience-Group/NeuralConvection-2D-CompactFNO/config.json
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curl -L -o config.json https://huggingface.co/OneScience-Group/NeuralConvection-2D-CompactFNO/resolve/main/config.json
464 Bytes
| { | |
| "model_type": "neural_convection_compact_fno_2d", | |
| "architectures": ["NeuralConvectionCompactFNO2D"], | |
| "in_channels": 4, | |
| "out_channels": 4, | |
| "channel_names": ["u_x", "u_y", "T", "p"], | |
| "grid_size": [64, 64], | |
| "width": 64, | |
| "fourier_blocks": 4, | |
| "modes": [16, 16], | |
| "checkpoint": "weight/best_model.pth", | |
| "paper": "https://arxiv.org/abs/2606.25259", | |
| "dataset": "NurshatMenglik/NeuralConvection_2D_TrainTest", | |
| "dataset_revision": "v1.0-legacy" | |
| } | |