This model is a sentence-transformers version of PubMedBERT fine-tuned on the MS MARCO dataset. It produces embeddings optimized for semantic similarity and retrieval in the biomedical domain. It can be used with the sentence-transformers or Transformers library to compare scientific texts or power search applications.
S PubMedBert MS MARCO is an Embeddings & retrieval project. It focuses on computing semantic similarity between biomedical and scientific sentences. It is built as an open-source project for developers. The project is open source (Open Source). It runs on the web, the command line, and API.
Behind S PubMedBert MS MARCO is pritamdeka. Among its 3 catalogued features are Sentence Similarity, Embedding Generation, and Biomedical Domain.
Summary written by a language model from the project’s public pages.
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