Instructions to use kashif/weathernext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kashif/weathernext2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import WeatherNext2ForWeatherForecasting model = WeatherNext2ForWeatherForecasting.from_pretrained("kashif/weathernext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
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Add loss
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14 days ago
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Update config: single chunk_size, add num_members
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Rename keys for the FiLM, edge-bias, MLP and head refactor
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Carry the mesh geometry in the checkpoint
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Carry the mesh geometry in the checkpoint
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Store the NaN fill value used by the original NaNCleaner
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Rename the feature extractor class
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Add all four ensemble members as subfolders
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