---
title: BioGPT-Large
description: Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domain, i.e. BERT (and its variants) and GPT (and its variants), the first one has been extensively studied in the biomedical domain, such as BioBERT and…
tags:
- biogpt
- biomedical
- en
- generation
- medical
- text-generation
license: mit
source_url: https://huggingface.co/microsoft/BioGPT-Large
---

# BioGPT-Large

> **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.

Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domain, i.e. BERT (and its variants) and GPT (and its variants), the first one has been extensively studied in the biomedical domain, such as BioBERT and…

Upstream identifier: `microsoft/BioGPT-Large`.

**Source:** https://huggingface.co/microsoft/BioGPT-Large

**Licence:** mit

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