update hf checkpoints list

[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 expands the collection of pre-trained model checkpoints available for use within the Keras ecosystem. By updating the list of Hugging Face presets, it ensures that developers have access to a broader range of state-of-the-art models for their machine learning tasks, enhancing the utility and completeness of the Keras Hub.

Highlights

• Addition of new Hugging Face checkpoint entries: This PR updates tools/admin/hf_uploaded_presets.json to include new checkpoint paths for various models, including DeiT, DINOv2, ESM-2, Gemma3 variants, HGNetV2, Mistral variants, Mixtral, Qwen-1.5-MoE, and Qwen-3 models.

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