huggingface-papers

To fetch AI research paper metadata, provide the arXiv identifier to the Hugging Face Papers API. The skill processes the request and returns structured details including authors, linked models, datasets, and summaries.

Yes, you can extract linked models and datasets from Hugging Face paper pages. The skill retrieves structured metadata from the Hub, enabling you to index and manage associated resources efficiently.

The best way to search for AI research papers by author or summary is using the Hugging Face Papers API. It supports querying markdown pages and arXiv URLs to locate specific research documentation.

Yes, you need the requests library installed to retrieve arXiv paper summaries. This dependency enables the skill to interact with the Hugging Face Papers API and fetch metadata successfully.

Indexing arXiv URLs works by sending the link to the Hugging Face Papers API, which fetches and processes the paper metadata. This enables searching and managing the paper within the Hub's ecosystem.