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Sentence Transformers

원문: sentence-transformers

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or sim

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Sentence Transformers State of the Art Embeddings Python framework for sentence and text embeddings using transformers. When to use Sentence Transformers Use when: Need high quality embeddings for RAG Semantic similarity and search Text clustering and classification Multilingual embeddings (100+ languages) Running embeddings locally (no API) Cost effective alternative to OpenAI embeddings Metrics : 15,700+ GitHub stars 5000+ pre trained models 100+ languages supported Based on PyTorch/Transformers Use alternatives instead : OpenAI Embeddings : Need API based, highest quality Instructor : Task specific instructions Cohere Embed : Managed service Quick start Installation Basic usage Popular mo

실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.