Download config.json from OneScience-Group/SFNO-BVMC: direct link, hf CLI and curl.
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https://huggingface.co/OneScience-Group/SFNO-BVMC/resolve/main/config.json
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hf download hf://OneScience-Group/SFNO-BVMC/config.json
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curl -L -o config.json https://huggingface.co/OneScience-Group/SFNO-BVMC/resolve/main/config.json
1.06 kB
| {"model_name":"SFNO-BVMC","model_type":"sfno_bvmc","architectures":["CompactSFNO"],"framework":"PyTorch","domain":"weather","task":"ensemble-forecasting","implementation":{"entry_point":"model/sfno_bvmc.py","scope":"core-method full-channel global-coordinate tile-streamed engineering reproduction","train_script":"scripts/train.py","inference_script":"scripts/inference.py","evaluation_script":"scripts/result.py","synthetic_data_script":"scripts/fake_data.py"},"architecture":{"logical_input_shape":[77,721,1440],"logical_output_shape":[74,721,1440],"time_step_hours":6,"paper_embedding_dimension":620,"paper_scale_factor":2,"checkpoint_count":29,"ensemble_method":"centered bred vectors and multiple checkpoints"},"data":{"training_years":[1979,2015],"validation_year":2018,"test_year":2020,"format_version":"sfno_bvmc_tiles_v1","logical_grid":[721,1440],"engineering_tile":[32,32],"synthetic":true},"configuration_sources":["conf/config.yaml","model/sfno_bvmc.py","scripts/fake_data.py","scripts/train.py","scripts/inference.py","scripts/result.py"]} | |