Training and Finetuning Multimodal Embedding & Reranker Models with Sentence Transformers

This article details how to train and fine-tune multimodal embedding and reranker models using the Sentence Transformers library.

• •Explains the process of creating and adapting models that understand and process multiple data types (text, images, etc.).
• •Focuses on the practical application of the Sentence Transformers framework for these multimodal tasks.
• •Covers techniques for improving model performance through fine-tuning on specific datasets.