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:
# pip install -U transformers accelerate # Load model directly from transformers import WeatherNext2ForWeatherForecasting model = WeatherNext2ForWeatherForecasting.from_pretrained("kashif/weathernext2-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
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Update card
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4 days ago
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Add loss
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Add forecast config
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Align weights
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8 days ago
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Move mask (#3)
- Move mask (6f9bd7e075be70a7af9df4c445d94225c309b0f0)02ce5b5
9 days ago
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Move geometry (#2)
- Move geometry (9bb4ba2ffd2386127f52b1b7b652cd409f0b3c4b)fd0625d
17 days ago
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Update config: single chunk_size, add num_members
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19 days ago
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Fix geometry (#1)
- Fix geometry (246317e2dd409872a3285f3b3d6de5ec849b112b)af8d967 -
Restore geometry
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Fix geometry
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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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Fix the rollout clock ordering
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Lead the ensemble docs with the per-member loop
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Rename the feature extractor class in the examples
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Rename the feature extractor class
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Add converted WeatherNext 2 Mini weights and model card
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initial commit
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