Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers

The post outlines how to train and fine‑tune multi‑vector embedding models with the Sentence Transformers library. It covers data preparation, model architecture setup, evaluation techniques, and provides code snippets. Use cases such as semantic search and document clustering are also discussed.

Summary written by Kernelia from the original article by Hugging Face Blog. The story and its rights belong to its author.