Unleashing the Power of ONNX for Speedier SBERT Inference (opens in new tab)

Last Updated on May 19, 2026 by Editorial Team Author(s): Swaraj Patil Originally published on Towards AI. SBERT, also known as Sentence-Bert, is a widely used approach for obtaining sentence embeddings that aim to retain the contextual information within the sentences. However, generating these embeddings can be slow when dealing with large amounts of data. To address this, one option is to utilize batch-based encoding to accelerate the inference. However, this may not necessarily reduce the...