Shypd.aiThe largest open index of AI toolsAnglE is an open-source library for training and inferring powerful sentence embeddings. It supports BERT/LLM-based models and achieves state-of-the-art performance on STS and MTEB leaderboards.
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AnglE is an open-source library designed for training and inferring state-of-the-art BERT/LLM-based sentence embeddings. It utilizes an angle-optimized approach, offering various loss functions like AnglE loss, Contrastive loss, CoSENT loss, and Espresso loss. The library supports both BERT-based and LLM-based models, including bi-directional LLMs, and facilitates single-GPU and multi-GPU training. AnglE has achieved SOTA performance on benchmarks like STS and MTEB, with models trained using AnglE reaching top positions. It provides a flexible framework for researchers and developers to build and deploy high-quality sentence embedding models.
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