SeanLee97/AnglE
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
This tool helps you transform text into numerical representations called sentence embeddings, making it easy to compare and find similar pieces of text. You input raw text (like sentences, paragraphs, or documents), and it outputs numerical vectors. This is designed for anyone working with large volumes of text who needs to quickly identify related content, such as information retrieval specialists or data scientists building text-based search.
568 stars.
Use this if you need to measure the similarity between different pieces of text or build systems that retrieve relevant documents based on a query.
Not ideal if you primarily need to generate human-like text, classify documents into predefined categories, or perform tasks other than semantic similarity.
Stars
568
Forks
38
Language
Python
License
MIT
Category
Last pushed
Oct 19, 2025
Commits (30d)
0
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