Add HGNetV2 API documentation to hub_master.py

[laxmareddyp]

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[gemini-code-assist]

Summary of Changes

Hello @laxmareddyp, 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 introduces the necessary configuration to generate API documentation for the HGNetV2 family of models and layers within the keras_hub project. This change ensures that users can easily access detailed information about these components, improving their discoverability and usability by making their API reference available.

Highlights

• Documentation Configuration: Added a new top-level entry for 'HGNetV2' in scripts/hub_master.py to define its documentation structure within the Keras Hub project.
• API Generation: Configured the automatic generation of API documentation for several HGNetV2-related components, including keras_hub.layers.HGNetV2ImageConverter, keras_hub.models.HGNetV2Backbone, keras_hub.models.HGNetV2ImageClassifier, and keras_hub.models.HGNetV2ImageClassifierPreprocessor. This includes their from_preset methods and specific attributes like backbone and preprocessor for the classifier.

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[gemini-code-assist]

Code Review

This pull request adds the API documentation configuration for the new HGNetV2 model. The changes are straightforward, but I've identified a minor maintainability issue regarding the alphabetical ordering of models in the configuration file to ensure consistency.

[laxmareddyp]

/gemini review

[gemini-code-assist]

Code Review

This pull request adds API documentation for HGNetV2 models and layers. The changes are well-structured and follow the existing format. I've provided a couple of suggestions to improve consistency in the documentation titles for better clarity.