msmarco-bert-base-dot-v5 is an open-weight Sentence Transformers model that converts English text into embeddings for semantic similarity and retrieval. Developers can run it locally with Sentence Transformers, Transformers, PyTorch, TensorFlow, ONNX, or related inference tooling.
Msmarco Bert Base Dot is an Embeddings & retrieval project. It focuses on generating semantic text embeddings for similarity search and information retrieval. It is built as an open-source project for machine learning developers and NLP researchers. Msmarco Bert Base Dot is open source under the MIT license. Msmarco Bert Base Dot is available on the web, the command line, and API, and it can be self-hosted.
Behind Msmarco Bert Base Dot is Sentence Transformers, and it first shipped in 2019. The GitHub repository has been archived. Among its 9 catalogued features are text embeddings, semantic similarity, and information retrieval.
Summary written by a language model from the project’s public pages.
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