Sentence Transformers
Company www.sbert.net ● Covered in 4 stories + Follow ✴ AI Graph
Sentence Transformers (SBERT) is a Python module for computing embeddings and reranker models from text, images, audio, and video, designed for applications including semantic search and textual similarity. The library provides access to over 10,000 pre-trained models available on Hugging Face and supports training or fine-tuning custom embedding, reranker, and sparse encoder models. Sentence Transformers was created by UKP Lab and is currently maintained by Hugging Face. Version 5.5 introduced a train-sentence-transformers Agent Skill for use with AI coding agents.
Updated 6 August 2026
Public sources: Official website
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Media momentum
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Release activity
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Funding signals
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Jan 2025 → Apr 2026
Coverage span
As of 17 Sep 2026 · First to most recent month of TLDRocket coverage of this entity.
Latest developments
2026
- Training and Finetuning Multimodal Embedding & Reranker Models with Sentence Transformers
- Multimodal Embedding & Reranker Models with Sentence Transformers