Add Meta CLIP2 presets

[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

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This pull request introduces new model configurations for MetaCLIP 2, making a range of pre-trained Vision Transformer models readily available for use. This expands the library's capabilities by providing access to different scales and resolutions of these powerful models, facilitating their integration and experimentation within the Keras ecosystem.

Highlights

• New MetaCLIP 2 Presets: Added four new MetaCLIP 2 model presets: metaclip_2_vit_huge_patch14_224, metaclip_2_vit_huge_patch14_378, metaclip_2_vit_giant_patch14_224, and metaclip_2_vit_giant_patch14_378.
• Detailed Model Metadata: Each new preset includes comprehensive metadata such as a detailed description of the model's architecture (e.g., layer counts, patch size, image resolution), total parameter count, and a Kaggle handle for easy access.
• Expanded Model Configurations: The added presets define configurations for various MetaCLIP 2 Vision Transformer (ViT) models, offering different scales and resolutions to enhance flexibility for users.

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Changelog

• keras_hub/src/models/metaclip_2/metaclip_2_presets.py
  • Populated the backbone_presets dictionary with four new MetaCLIP 2 model configurations.
  • Included detailed metadata for each preset, such as model description, parameter count, and Kaggle URL.

Activity

• No specific activity (comments, reviews, or progress updates) has been recorded for this pull request yet.

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[gemini-code-assist]

Code Review

This pull request adds four new presets for the MetaCLIP 2 model. The structure of the presets file is correct and follows the repository's conventions. However, there are significant discrepancies between the parameter counts listed in the description strings and the params fields for all four presets. The params values, likely generated automatically, appear to be correct, while the descriptions are misleading. I've added specific comments to correct the parameter counts in the descriptions.