Training and Finetuning Multimodal Embedding & Reranker Models with Sentence Transformers

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Hugging Face has released new training and finetuning features for multimodal embedding and reranker models through its Sentence Transformers library. The update enables developers to build and customize models that process both text and images for embedding and ranking tasks. This expands Hugging Face's toolkit for practitioners working on semantic search and information retrieval applications.

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