Hugging Face has published a blog post on training and fine-tuning reranker models using Sentence Transformers. The post explains how to use the library's pre-trained models for sentence ranking tasks, such as question answering and text summarization. It also provides code examples and tutorials for users to get started with building their own rerankers. --- Why it matters: This matters because reranker models are crucial in natural language processing tasks that require ranking sentences or passages, such as question answering systems and text summarization tools. Source: https://huggingface.co/blog/train-reranker