chore: synced file(s) with ecmwf/reusable-workflows (#379)

synced local file(s) with
[ecmwf/reusable-workflows](https://github.com/ecmwf/reusable-workflows).



<details>
<summary>Changed files</summary>
<ul>
<li>synced local directory <code>./</code> with remote directory
<code>sync-files/anemoi/all/</code></li>
</ul>
</details>

---

This PR was created automatically by the
[repo-file-sync-action](https://github.com/BetaHuhn/repo-file-sync-action)
workflow run
[#19301898343](https://github.com/ecmwf/reusable-workflows/actions/runs/19301898343)

Author: DeployDuck

CONTRIBUTORS.md

@@ -1,6 +1,6 @@
 ## How to Contribute
 
-Please see the [read the docs](https://anemoi.readthedocs.io/en/latest/dev/contributing.html).
+Please see the [read the docs](https://anemoi.readthedocs.io/en/latest/contributing/contributing.html).
 
 
 ## Contributors
@@ -10,4 +10,4 @@ Thank you to all the wonderful people who have contributed to Anemoi. Contributi
 
 ## Contributing Organisations
 
-Significant contributions have been made by the following organisations: [DWD](https://www.dwd.de/), [FMI](https://www.ilmatieteenlaitos.fi/), [KNMI](https://www.knmi.nl), [MET Norway](https://www.met.no/), [MeteoSwiss](https://www.meteoswiss.admin.ch/), [RMI](https://www.meteo.be/) & [ECMWF](https://www.ecmwf.int/)
+Significant contributions have been made by the following organisations: [DMI](https://www.dmi.dk/), [DWD](https://www.dwd.de/), [FMI](https://www.ilmatieteenlaitos.fi/), [KNMI](https://www.knmi.nl), [MET Norway](https://www.met.no/), [MeteoSwiss](https://www.meteoswiss.admin.ch/), [RMI](https://www.meteo.be/), [Met Office](https://www.metoffice.gov.uk/), [Météo-France](https://meteofrance.com/) & [ECMWF](https://www.ecmwf.int/)

README.md

@@ -21,6 +21,10 @@
 
 The documentation can be found at https://anemoi-inference.readthedocs.io/.
 
+## Contributing
+
+You can find information about contributing to Anemoi at our [Contribution page](https://anemoi.readthedocs.io/en/latest/contributing/contributing.html).
+
 ## Install
 
 Install via `pip` with: