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
Commit History
2 days ago
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Move mask (#2)
- Move mask (d5a5dc57cfc1cd326009968a7b922c56c5cb58e9)0ed08f4
3 days ago
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Move geometry (#1)
- Move geometry (4a6eb815162598d2f76eb2b51aecd13ab775b6d7)dbdc061
11 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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Say what the checkpoint is for and how to regenerate it
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Tiny random WeatherNext 2 on a 15 degree grid, with real mesh geometry
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initial commit
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