Sbert.net
SentenceTransformers Documentation — Sentence Transformers documentation
Explore docs and guides for Sentence Transformers, a Python library for sentence embeddings and semantic search with deep learning models.
Get started with sentence embeddings in Python
SentenceTransformers Documentation is your go-to resource for learning how to use the Sentence Transformers Python library. Here, you can find step-by-step guides on installing the library, using pre-trained models, and implementing semantic search or similarity tasks in your projects.
The site is designed for developers and researchers who want to work with sentence embeddings and natural language processing. You'll find quickstart tutorials, migration guides for different versions, and detailed explanations of features like cross-encoders and performance optimization.
Whether you're just starting out or looking to deepen your understanding, this documentation offers clear instructions, practical examples, and helpful references to help you get the most out of Sentence Transformers.
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