Shypd.aiThe largest open index of AI toolsSentence-transformers is an open-source framework for computing state-of-the-art text embeddings. It provides easy methods for accessing, using, and training embedding and reranker models for various NLP tasks.
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Sentence-transformers is a powerful open-source framework designed for generating state-of-the-art text embeddings. It simplifies the process of computing embeddings using Sentence Transformer models, calculating similarity scores with Cross-Encoder (reranker) models, and generating sparse embeddings via Sparse Encoder models. This framework unlocks a wide range of applications including semantic search, semantic textual similarity, and paraphrase mining. Users can leverage over 15,000 pre-trained models available on Hugging Face, or easily train and fine-tune their own custom embedding, reranker, or sparse encoder models. It supports various transformer networks like BERT, RoBERTa, and XLM-R, offers multilingual and multi-task learning, and includes over 20 loss functions for diverse NLP tasks.
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