Add Depth Anything,MobilenetV5,ParSeq, Qwen3Moe, SmollLM3 Hub model API details

[sachinprasadhs]

• Depth Anything
• MobilenetV5
• ParSeq
• Qwen3Moe
• SmollLM3

[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 Keras Hub by adding configuration entries for five new machine learning models: Depth Anything, MobilenetV5, ParSeq, Qwen3Moe, and SmollLM3. These additions ensure that the API details for various components of these models, such as their preprocessors, backbones, and specific task models, are properly registered and available for documentation generation and use within the Keras ecosystem.

Highlights

• Depth Anything Model Integration: Added API details for the Depth Anything model, including its image converter, backbone, and depth estimator components, to the Keras Hub configuration.
• MobilenetV5 Model Integration: Incorporated API details for the MobilenetV5 model, covering its image converter, backbone, and image classifier components, into the Keras Hub configuration.
• ParSeq Model Integration: Included API details for the ParSeq model, specifically its backbone, causal language model, and preprocessor components, in the Keras Hub configuration.
• Qwen3Moe Model Integration: Added API details for the Qwen3Moe model, encompassing its tokenizer, backbone, causal language model, and preprocessor, to the Keras Hub configuration.
• SmollLM3 Model Integration: Integrated API details for the SmollLM3 model, including its tokenizer, backbone, and causal language model components, into the Keras Hub configuration.

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[gemini-code-assist]

Code Review

This pull request adds API documentation configurations for five new models: Depth Anything, MobilenetV5, ParSeq, Qwen3Moe, and SmollLM3. The changes are mostly good, but I've found a few issues related to consistency and completeness. Specifically, there's a typo in the Depth Anything definition, and some models are missing documentation for their components like preprocessors, tokenizers, or important methods like from_preset. These omissions could lead to incomplete or broken API documentation. I've left specific suggestions to address these points.

[sachinprasadhs]

/gemini review

[gemini-code-assist]

Code Review

This pull request adds API details for several new models to the hub_master.py script, including Depth Anything, MobilenetV5, ParSeq, Qwen3Moe, and SmollLM3. The changes involve adding new entries to the MODELS_MASTER dictionary, each defining the path, title, and children (sub-models/layers) for the respective models. The added models include tokenizers, backbones, causal LMs, and preprocessors. The addition of these models expands the KerasHub's support for various state-of-the-art architectures.

[hertschuh]

Thanks!