Vietnamese-sbert is a Sentence-BERT model trained to produce semantically meaningful embeddings for Vietnamese sentences. It supports tasks such as semantic search, clustering, and similarity comparison. The model can be used directly with the sentence-transformers library or Hugging Face Transformers for downstream Vietnamese language applications.
Vietnamese Sbert sits in PulseGate's Foundation models & chat category. It focuses on generating high-quality sentence embeddings and measuring semantic similarity for Vietnamese text. Vietnamese Sbert is an open-source project aimed at developers building Vietnamese NLP applications. The project is open source (Open Source). Vietnamese Sbert is available on the web, the command line, and API.
Behind Vietnamese Sbert is keepitreal, and the product first shipped in 2022. Among its 3 catalogued features are Sentence Embeddings, Semantic Similarity, and Transformers Compatible. It exposes integrations via a public API.
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keepitreal/vietnamese-sbert verified by the PulseGate indexer
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