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https://github.com/ecmwf-lab/ai-models-panguweather
https://github.com/ecmwf-lab/ai-models-panguweather
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/ecmwf-lab/ai-models-panguweather
- Owner: ecmwf-lab
- License: apache-2.0
- Created: 2023-05-12T06:40:56.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-13T10:44:47.000Z (12 months ago)
- Last Synced: 2024-04-23T20:05:13.510Z (9 months ago)
- Language: Python
- Size: 30.3 KB
- Stars: 75
- Watchers: 3
- Forks: 24
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-meteo - Pangu-Weather
README
# ai-models-panguweather
`ai-models-panguweather` is an [ai-models](https://github.com/ecmwf-lab/ai-models) plugin to run [Huawei's Pangu-Weather](https://github.com/198808xc/Pangu-Weather).
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast, arXiv preprint: 2211.02556, 2022.
Pangu-Weather was created by Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu and Qi Tian. It is released by Huawei Cloud.
The trained parameters of Pangu-Weather are made available under the terms of the BY-NC-SA 4.0 license.
The commercial use of these models is forbidden.
See for further details.
### Installation
To install the package, run:
```bash
pip install ai-models-panguweather
```This will install the package and its dependencies, in particular the ONNX runtime. The installation script will attempt to guess which runtime to install. You can force a given runtime by specifying the the `ONNXRUNTIME` variable, e.g.:
```bash
ONNXRUNTIME=onnxruntime-gpu pip install ai-models-panguweather
```