#sentence-transformers

This open-source project offers an OpenAI-compatible endpoint for text embeddings, supporting models such as BAAI/bge-large-en and intfloat/e5-large-v2. It allows flexible input handling and supports deployment on local and cloud platforms like AWS and Modal, with GPU optimization for enhanced performance. Ideal for developers, it provides robust text embeddings suitable for various applications.

Explore instruction-finetuned text embeddings designed for various tasks and domains without the need for additional finetuning. This project outlines improvements to existing repositories and introduces a model excelling in 70 embedding tasks. Learn about straightforward installation, setup, and applications in classification, retrieval, and more, evaluated on benchmarks such as MTEB, Billboard, and Prompt Retrieval.