Bge Small Zh is a Chinese text embedding model hosted on Hugging Face. Developed by the Beijing Academy of Artificial Intelligence, it belongs to the class of foundation models and is designed for feature extraction from Chinese text.
The model is provided as a Transformers-compatible checkpoint with PyTorch and Safetensors weights. It carries an MIT license and can be loaded directly through the Hugging Face ecosystem for tasks that require generating embeddings from Chinese input. Example code shows instantiation via the pipeline API for feature-extraction or by importing AutoTokenizer and AutoModel from the transformers library.
Documentation on the repository page covers usage patterns with FlagEmbedding, Sentence-Transformers, Langchain, and the core Hugging Face Transformers library. It also references two arXiv papers that describe the underlying approach. The model is listed under tags that include bert, text-embeddings-inference, and Chinese.
It is distributed for free as an open-source artifact on the Hugging Face platform.
In the Foundation models & chat space, Bge Small Zh takes a focused approach. It focuses on enabling efficient Chinese text embedding and feature extraction for NLP applications using an open-source model. Bge Small Zh is an open-source project aimed at Chinese NLP researchers and developers. The project is open source (MIT). It runs on the command line, and it can be self-hosted.
Beijing Academy of Artificial Intelligence builds and maintains Bge Small Zh, and the product first shipped in 2023. The project is developed in the open on GitHub with 12k stars and 3 commits in the last 90 days. Among its 5 catalogued features are text embedding, chinese language support, and feature extraction.
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