{ "mic": "0.3", "name": "WeatherNext2 forecast", "usage": "Feature extraction, a batched forecast, physical postprocessing, and ensemble CRPS training", "architecture": "WeatherNext2ForWeatherForecasting", "checkpoints": { "kashif/weathernext2-mini": { "fixture": "huggingface-mic/weathernext2-mic" } }, "fixtures": { "huggingface-mic/weathernext2-mic": { "built_from": "kashif/weathernext2-mini", "covers": [ "kashif/weathernext2-mini" ], "build": { "seed": 17, "model_class": "WeatherNext2ForWeatherForecasting", "config_overrides": { "fields": { "graph_config.edge_hidden_size": 64, "grid_latitudes": 9, "grid_longitudes": 16, "mesh_splits": 2, "attention_k_hop": 2 }, "reason": "Shrink the network, weather grid and mesh together; regenerate genuine spherical geometry and its mask." } } } }, "integrations": { "transformers": { "entry_point": "integrations/transformers/usage.md", "format": "runnable-markdown", "requires": [ "transformers>=5", "torch" ], "targets": [ "fixtures" ], "variants": { "default": {}, "eager": { "attn_implementation": "eager" }, "bfloat16": { "dtype": "bfloat16" } }, "training": true } }, "outputs": { "runtime": { "compare": "exact" }, "shape": { "compare": "exact" }, "prediction": { "compare": "allclose", "atol": 0.0001, "rtol": 0.0001 }, "temperature": { "compare": "allclose", "atol": 0.0001, "rtol": 0.0001 }, "finite": { "compare": "true" }, "training.loss": { "compare": "allclose", "atol": 0.0001, "rtol": 0.0001 }, "training.gradients": { "compare": "all_true" }, "training.updated": { "compare": "true" } } }