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 Embeddings & retrieval category. It focuses on generating high-quality sentence embeddings and measuring semantic similarity for Vietnamese text. It is built as an open-source project for developers building Vietnamese NLP applications. Vietnamese Sbert is open source under the Open Source license. It ships for the web, the command line, and API.
keepitreal builds and maintains Vietnamese Sbert. Among its 3 catalogued features are Sentence Embeddings, Semantic Similarity, and Transformers Compatible. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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