Other
Transformers
Safetensors
weathernext2
weather
forecasting
climate
tropical-cyclones
graph-neural-network
Instructions to use kashif/weathernext2-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kashif/weathernext2-mini with Transformers:
# Load model directly from transformers import WeatherNext2ForWeatherForecasting model = WeatherNext2ForWeatherForecasting.from_pretrained("kashif/weathernext2-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,861 Bytes
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"aggregate_normalization": null,
"architectures": [
"WeatherNext2ForWeatherForecasting"
],
"atmospheric_variables": [
"temperature",
"geopotential",
"u_component_of_wind",
"v_component_of_wind",
"vertical_velocity",
"specific_humidity"
],
"attention_bandwidth": 2577,
"attention_dropout": 0.0,
"attention_k_hop": 16,
"ball_query_radius_fraction": 0.6,
"dtype": "float32",
"edge_hidden_size": 32,
"forcing_variables": [
"year_progress_sin",
"year_progress_cos",
"day_progress_sin",
"day_progress_cos"
],
"global_variables": [
"year_progress_sin",
"year_progress_cos"
],
"grid_latitudes": 181,
"grid_longitudes": 360,
"hidden_act": "gelu_pytorch_tanh",
"hidden_size": 512,
"initializer_range": 0.02,
"input_variables": [
"temperature",
"geopotential",
"u_component_of_wind",
"v_component_of_wind",
"vertical_velocity",
"specific_humidity",
"2m_temperature",
"mean_sea_level_pressure",
"10m_v_component_of_wind",
"10m_u_component_of_wind",
"sea_surface_temperature",
"geopotential_at_surface",
"land_sea_mask",
"year_progress_sin",
"year_progress_cos",
"day_progress_sin",
"day_progress_cos"
],
"intermediate_size": 2048,
"layer_norm_eps": 1e-05,
"mesh_splits": 5,
"mlp_act": "silu",
"model_type": "weathernext2",
"noise_channels": 32,
"num_attention_heads": 4,
"num_grid_to_mesh_edges": 101892,
"num_hidden_layers": 16,
"num_input_timesteps": 2,
"pressure_levels": [
50,
100,
150,
200,
250,
300,
400,
500,
600,
700,
850,
925,
1000
],
"sigmoid_shifted_outputs": {
"cyclone_exists_gaussian_unit_mode": 2.0
},
"static_variables": [
"geopotential_at_surface",
"land_sea_mask"
],
"target_variables": [
"temperature",
"geopotential",
"u_component_of_wind",
"v_component_of_wind",
"vertical_velocity",
"specific_humidity",
"2m_temperature",
"mean_sea_level_pressure",
"10m_v_component_of_wind",
"10m_u_component_of_wind",
"sea_surface_temperature",
"total_precipitation_6hr",
"cyclone_exists_gaussian_unit_mode",
"cyclone_all_wind_disc",
"cyclone_usa_wind_disc",
"cyclone_usa_r34_ne_radius_disc",
"cyclone_usa_r34_se_radius_disc",
"cyclone_usa_r34_sw_radius_disc",
"cyclone_usa_r34_nw_radius_disc",
"cyclone_usa_r50_ne_radius_disc",
"cyclone_usa_r50_se_radius_disc",
"cyclone_usa_r50_sw_radius_disc",
"cyclone_usa_r50_nw_radius_disc",
"cyclone_usa_r64_ne_radius_disc",
"cyclone_usa_r64_se_radius_disc",
"cyclone_usa_r64_sw_radius_disc",
"cyclone_usa_r64_nw_radius_disc",
"cyclone_usa_rmw_disc",
"cyclone_usa_pres_disc"
],
"time_step_hours": 6,
"transformers_version": "5.16.0.dev0"
}
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