Instructions to use hf-internal-testing/tiny-random-WeatherNext2ForWeatherForecasting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-WeatherNext2ForWeatherForecasting with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import WeatherNext2ForWeatherForecasting model = WeatherNext2ForWeatherForecasting.from_pretrained("hf-internal-testing/tiny-random-WeatherNext2ForWeatherForecasting", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config: single chunk_size, add num_members
Browse files- config.json +2 -0
config.json
CHANGED
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@@ -15,6 +15,7 @@
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"attention_dropout": 0.0,
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"attention_k_hop": 2,
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"ball_query_radius_fraction": 0.6,
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"dtype": "float32",
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"edge_hidden_size": 4,
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"forcing_variables": [
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@@ -61,6 +62,7 @@
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"num_grid_to_mesh_edges": 576,
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"num_hidden_layers": 2,
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"num_input_timesteps": 2,
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"pressure_levels": [
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500,
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850
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"attention_dropout": 0.0,
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"attention_k_hop": 2,
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"ball_query_radius_fraction": 0.6,
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+
"chunk_size": 32768,
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"dtype": "float32",
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"edge_hidden_size": 4,
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"forcing_variables": [
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"num_grid_to_mesh_edges": 576,
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"num_hidden_layers": 2,
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"num_input_timesteps": 2,
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+
"num_members": 1,
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"pressure_levels": [
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500,
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850
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