---
title: S-PubMedBert-MedQuAD
description: "This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic"
tags:
- bert
- feature-extraction
- literature
- nlp
- sentence-similarity
- text-embeddings-inference
license: mit
source_url: https://huggingface.co/TimKond/S-PubMedBert-MedQuAD
---

# S-PubMedBert-MedQuAD

> **Mirrored metadata.** This card is reproduced on Atlas for discovery. The artifact itself is not hosted here — follow the source link for the files, and refer to the upstream licence for terms of use.

This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic

Upstream identifier: `TimKond/S-PubMedBert-MedQuAD`.

**Source:** https://huggingface.co/TimKond/S-PubMedBert-MedQuAD

**Licence:** mit

_This model is part of the Atlas demo catalogue. See the repository history for provenance._