Scaling an Incremental Pipeline for Hugging Face–GitHub Analysis

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Explore the development of a scalable Hugging Face–GitHub pipeline to address limited visibility of linked models and repositories. Key challenges include rapid growth outpacing traditional methods and validating model-repository metadata. The pipeline leverages structured ingestion via the Hugging Face API with analytics such as deduplication and metadata tracking to analyze trends in languages and repository activities, aiming to establish effective model-repository linkages and improve...

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