reranker models
reranker-models-1cbf1b89·2 events·first seen 1mo agoAliases: reranker models
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Training and Finetuning Reranker Models with Sentence Transformers
Hugging Face published a tutorial on training and fine-tuning reranker models using the Sentence Transformers library. Rerankers are cross-encoder models used in retrieval-augmented generation (RAG) and search pipelines to re-score candidate documents for improved relevance. The post covers dataset preparation, loss functions, and training configurations specific to reranking tasks.
Training and Finetuning Multimodal Embedding & Reranker Models with Sentence Transformers
Hugging Face published a blog post detailing how to train and finetune multimodal embedding and reranker models using the Sentence Transformers library. The post covers techniques for building models that can jointly embed text and images for retrieval and reranking tasks. This represents an extension of the Sentence Transformers ecosystem into multimodal territory, enabling practitioners to build cross-modal search and ranking systems.