hugging-face-paper-publisher

To link an arXiv research paper to a model repository on the Hugging Face Hub, you index the paper using its arXiv ID and connect it to associated models and datasets via metadata. This ensures proper attribution and artifact discoverability across repositories.

Yes, you can generate professional markdown-based research articles from arXiv papers for publication. The process uses built-in markdown templates to format research content, streamlining article creation and management directly on the Hugging Face Hub.

Yes, this workflow automation requires the huggingface_hub library to manage paper authorship and visibility on the platform. It integrates with pyyaml and requests libraries to seamlessly handle metadata configuration and API interactions for research paper management.

The best way to index research papers from arXiv for the Hugging Face Hub is by using the provided scripts to fetch paper data via its arXiv ID. This automates claiming authorship, managing visibility, and linking associated models or datasets.

Managing visibility and authorship for multiple arXiv publications relies on standard huggingface_hub API interactions and pyyaml metadata configurations. Users must ensure correct metadata mapping for each paper to avoid attribution errors when linking multiple models and datasets.