Add Qwen3 API usage documentation to hub_master.py

[laxmareddyp]

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[gemini-code-assist]

Summary of Changes

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This pull request integrates the Qwen3 model family's API documentation into the existing keras_hub documentation system. By updating the hub_master.py configuration, the relevant classes and methods for Qwen3's tokenizer, backbone, causal language model, and preprocessor will now be automatically generated and made accessible to users, improving discoverability and ease of use for these components.

Highlights

• Documentation Generation: Added configuration to scripts/hub_master.py to generate API documentation for the Qwen3 model family. This includes the Qwen3Tokenizer, Qwen3Backbone model, Qwen3CausalLM model, and Qwen3CausalLMPreprocessor layer, along with their key methods like from_preset, generate, token_embedding, enable_lora, backbone, preprocessor, and tokenizer.

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Code Review

This pull request adds documentation configuration for the new Qwen3 models and related components (Qwen3Tokenizer, Qwen3Backbone, Qwen3CausalLM, Qwen3CausalLMPreprocessor) to hub_master.py. The changes involve adding a new dictionary entry that defines the structure and content for the API documentation pages.