Lead story
Models & availability
Latest
Lead story
Models & availability
Latest
Hugging Face describes how they use Inference Endpoints, Jobs, and Storage Buckets to build a hybrid search system for Papers with Code, using the Qwen/Qwen3-Embedding-0.6B model for embeddings.
From the source
We deliberately split search into an offline corpus build and an online search service: The expensive, throughput-oriented work runs as Jobs. Durable artifacts live in a Bucket. Only the small query-embedding step sits on the request path, behind a protected Inference Endpoint, to power the online search.
huggingface.co