Sentence Transformers
Empowering Semantic Understanding
Sentence Transformers is a Python module that provides access to state-of-the-art embedding and reranker models. It allows users to compute embeddings, calculate similarity scores, and generate sparse embeddings for various applications such as semantic search, semantic textual similarity, and paraphrase mining. The module offers a wide selection of pre-trained models and enables users to train or finetune their own models for specific use cases.
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Sentence Transformers is a Python module that provides access to state-of-the-art embedding and reranker models. It allows users to compute embeddings, calculate similarity scores, and generate sparse embeddings for various applications such as semantic search, semantic textual similarity, and paraphrase mining. The module offers a wide selection of pre-trained models and enables users to train or finetune their own models for specific use cases.
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Sentence Transformers
Sentence Transformers is a Python module that provides access to state-of-the-art embedding and reranker models. It allows users to compute embeddings, calculate similarity scores, and generate sparse embeddings for various applications such as semantic search, semantic textual similarity, and paraphrase mining. The module offers a wide selection of pre-trained models and enables users to train or finetune their own models for specific use cases.
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