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 a Foundation models & chat product. It focuses on computing semantic similarity between biomedical and scientific sentences. S PubMedBert MS MARCO is an open-source project aimed at developers. The project is open source (Open Source). The product ships for the web, the command line, and API.
It is developed by pritamdeka. Among its 3 catalogued features are Sentence Similarity, Embedding Generation, and Biomedical Domain.
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