Hf mirror sync for r 0.23

[sachinprasadhs]

Description of the change

Reference

Colab Notebook

Checklist

• I have added all the necessary unit tests for my change.
• I have verified that my change does not break existing code and works with all backends (TensorFlow, JAX, and PyTorch).
• My PR is based on the latest changes of the main branch (if unsure, rebase the code).
• I have followed the Keras Hub Model contribution guidelines in making these changes.
• I have followed the Keras Hub API design guidelines in making these changes.
• I have signed the Contributor License Agreement.

[gemini-code-assist]

Summary of Changes

Hello @sachinprasadhs, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request performs a routine synchronization of the Hugging Face mirror for release 0.23. The primary goal is to update the list of available Keras models by incorporating new model architectures and incrementing the versions of several existing models, ensuring the mirror accurately reflects the most current offerings.

Highlights

• New Model Additions: Introduced several new model families including 'cell2sentence', 'd-fine', 'depth-anything', 'mobilenetv5', 'parseq', 'qwen-3-moe', 't5-gemma', and 'vaultgemma' to the Hugging Face mirror.
• Model Version Updates: Updated existing 'clip' models from version 2 to 3, 'stablediffusion-3.5' models from version 2 to 3, and 'stablediffusion3' model from version 4 to 5.
• Hugging Face Mirror Synchronization: Synchronized the hf_uploaded_presets.json file to reflect the latest available Keras models for release 0.23.

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[gemini-code-assist]

Code Review

This pull request updates the list of Hugging Face presets with a significant number of new models and version bumps for existing ones. The changes in tools/admin/hf_uploaded_presets.json are well-organized, with new entries added in alphabetical order, maintaining the file's structure. The new model URIs are consistent with the project's naming conventions. Overall, this looks like a solid synchronization effort. It would be helpful to add a brief summary of the new model families to the PR description for future reference, but this is a minor point.