Metadata-Version: 2.4
Name: ai-models-fourcastnetv2-gfs
Version: 0.0.7
Summary: An ai-models plugin to run the Nvidia spherical harmonics FourCastNet v2 (small) model
Home-page: https://github.com/ecmwf-lab/ai-models-fourcastnetv2
Author: European Centre for Medium-Range Weather Forecasts (ECMWF)
Author-email: software.support@ecmwf.int
License: Apache License Version 2.0
Keywords: tool
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: LICENSE_FourCastNetv2
Requires-Dist: ai-models-gfs
Requires-Dist: torch>=2.0.0
Requires-Dist: torch_harmonics==0.6.2
Requires-Dist: ruamel.yaml>=0.17.21
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: summary

# ai-models-fourcastnetv2-gfs

`ai-models-fourcastnetv2-gfs` is an extension of the [ai-models-fourcastnetv2](https://github.com/ecmwf-lab/ai-models-fourcastnetv2) package, which itself is a plugin to run Nvidia's spherical harmonics tranformer with [ai-models](https://github.com/ecmwf-lab/ai-models).

### Installation

To install the package, run:

```bash
pip install ai-models-fourcastnetv2-gfs
```

This will install the package and its dependencies.
