Add AnimeTimm acknowledgements

Document individual and team acknowledgements on the organization card.

- credit narugo1992 for the project, pipeline, release, and training work
- credit SmilingWolf for the AnimeTagger idea and Danbooru metadata cleaning techniques
- credit 7eu7d7 / RainbowNeko for training and tuning guidance
- acknowledge the broader DeepGHS contributor group

Validation:
- git diff --check

README.md

@@ -89,6 +89,13 @@ The source data and chart builder are stored in this Space repository so the org
 - [`data/featured_models.json`](./data/featured_models.json) - top-5 and best-by-family selections.
 - [`scripts/build_org_card.py`](./scripts/build_org_card.py) - regenerates the banner and model snapshot chart from the checked-in data.
 
+## Acknowledgements
+
+- [@narugo1992](https://huggingface.co/narugo1992) ([GitHub](https://github.com/narugo1992)) completed the [`deepghs/animetimm`](https://github.com/deepghs/animetimm) GitHub project, built the end-to-end data, training, and release pipeline, and carried out the full model training work for AnimeTimm.
+- [@SmilingWolf](https://huggingface.co/SmilingWolf) ([GitHub](https://github.com/SmilingWolf)) is gratefully acknowledged for the AnimeTagger idea and for providing mature Danbooru metadata cleaning techniques that made this line of work much more practical.
+- [@7eu7d7](https://huggingface.co/7eu7d7) ([RainbowNeko / IrisRainbowNeko on GitHub](https://github.com/IrisRainbowNeko)) is gratefully acknowledged for directional guidance during training and tuning.
+- Thanks to all other DeepGHS contributors who helped shape the surrounding infrastructure, experiments, reviews, and release process.
+
 ## Notes
 
 These releases are research and hobbyist infrastructure for visual tagging. Please check each model or dataset card for license, source data notes, intended use, and audience restrictions before reuse.