Hugging Face Hub enriches programmatic search with huggingface_hub API: ModelSearchArguments and ModelFilter

AI Impact Summary

Hugging Face Hub now offers a programmatic search workflow through the huggingface_hub API, enabling developers to construct rich queries using ModelSearchArguments and ModelFilter via HfApi and retrieve detailed model info with model_info. The capability lowers the barrier to discovering models and datasets that meet exact criteria (e.g., text classification trained on GLUE, PyTorch compatibility) directly from Python or notebooks, without manual browsing. This streamlines automated model discovery, evaluation, and integration into ML pipelines, reducing time-to-assembly for candidate models. It also supports scriptable catalog maintenance and benchmarking workflows.