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AI · huggingface.co · Wednesday, 27 May 2026

Ettin Reranker Family Brings State-of-the-Art Cross-Encoder Models to Retrieval

Hugging Face released six new Sentence‑Transformers cross‑encoder rerankers built on the Ettin ModernBERT encoders, delivering state‑of‑the‑art performance on MTEB retrieval benchmarks. The blog provides model checkpoints, detailed training recipes, and easy‑to‑use code for immediate deployment or fine‑tuning on custom data.

Read the source: huggingface.co ↗In the 27 May issue →