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This article explains how to use the Sentence Transformers library to finetune and train embedding models for a variety of applications, such as retrieval augmented generation, semantic search, and semantic textual similarity. It covers the training components, dataset format, loss function, training arguments, evaluators, and trainer.
A surprising experiment to show that the devil is in the details
Image Similarity Search Reverse Image Search Object Similarity Search Robust OCR Document Search Semantic Search Cross-modal Retrieval Probing Perceptual Similarity Comparing Model Representations Concept Interpolation Concept Space Traversal Image Similarity Search
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