Add ESM API usage details to hub_master

[sachinprasadhs]

No description provided.

[gemini-code-assist]

Summary of Changes

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This pull request updates the hub_master.py script to include configuration for generating API documentation for the new Evolutionary Scale Modeling (ESM) components within keras_hub. This ensures that users can easily access detailed information about ESM tokenizers, backbone models, protein classifiers, and masked language models, along with their associated preprocessors.

Highlights

• Documentation Generation Configuration: Added a new top-level entry for "ESM" to the documentation generation configuration in scripts/hub_master.py.
• ESM Tokenizer Documentation: Included keras_hub.tokenizers.ESMTokenizer and its from_preset method for API documentation generation.
• ESM Backbone Model Documentation: Configured documentation generation for keras_hub.models.ESMBackbone, its from_preset method, and the token_embedding property.
• ESM Protein Classifier Documentation: Added keras_hub.models.ESMProteinClassifier, its from_preset method, and backbone/preprocessor properties to the documentation generation.
• ESM Protein Classifier Preprocessor Documentation: Included keras_hub.models.ESMProteinClassifierPreprocessor, its from_preset method, and the tokenizer property.
• ESM Masked PLM Model Documentation: Configured documentation generation for keras_hub.models.ESMMaskedPLM, its from_preset method, and backbone/preprocessor properties.
• ESM Masked PLM Preprocessor Documentation: Added keras_hub.models.ESMMaskedPLMPreprocessor, its from_preset method, and the tokenizer property.

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[gemini-code-assist]

Code Review

This pull request adds the API documentation configuration for the ESM model family to hub_master.py. The changes look good overall, adding entries for the ESM tokenizer, backbone, protein classifier, and masked protein language model. I've pointed out a small inconsistency in the path naming for the classifier and its preprocessor to align them with the project's conventions.