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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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 (2a0c73124035322a94a16cf0c29cfe21d13a6983)e703ecf
9 days ago
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Move geometry (#2)
- Move geometry (490ef7f0cc1aff66f86c4d6fe86071589a04ed1d)9cf82be
17 days ago
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Update config: single chunk_size, add num_members
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Update config: single chunk_size, add num_members
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Update config: single chunk_size, add num_members
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Update config: single chunk_size, add num_members
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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 (0ef6583a7f20dcffa326ad79241410c7bc9ba247)282cfa8 -
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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Rename keys for the FiLM, edge-bias, MLP and head refactor
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Rename keys for the FiLM, edge-bias, MLP and head refactor
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Rename keys for the FiLM, edge-bias, MLP and head refactor
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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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Carry the mesh geometry in the checkpoint
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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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Carry the mesh geometry in the checkpoint
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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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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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Store the NaN fill value used by the original NaNCleaner
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Store the NaN fill value used by the original NaNCleaner
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Store the NaN fill value used by the original NaNCleaner
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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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Rename the feature extractor class
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Rename the feature extractor class
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Rename the feature extractor class
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Rename the feature extractor class
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Note that Transformers support is still on a branch
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Expand the ensemble instructions
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Add all four ensemble members as subfolders
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Use a registered pipeline tag
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Add converted WeatherNext 2 weights and model card
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initial commit
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