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meelu/
DaMedSum-large

generated_from_trainer

summarization

apache-2.0

endpoints_compatible

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 _____    ______   __    __   ______   _____    ______   __  __   __    __    
/\  __-. /\  __ \ /\ "-./  \ /\  ___\ /\  __-. /\  ___\ /\ \/\ \ /\ "-./  \   
\ \ \/\ \\ \  __ \\ \ \-./\ \\ \  __\ \ \ \/\ \\ \___  \\ \ \_\ \\ \ \-./\ \  
 \ \____- \ \_\ \_\\ \_\ \ \_\\ \_____\\ \____- \/\_____\\ \_____\\ \_\ \ \_\ 
  \/____/  \/_/\/_/ \/_/  \/_/ \/_____/ \/____/  \/_____/ \/_____/ \/_/  \/_/

Model description

This repository contains a model for Danish abstractive summarisation of medical text.

This model is a fine-tuned version of DanSumT5-large trained on a danish medical text dataset.

The model was trained on LUMI using 1 AMD MI250X GPU.

Authors

Nicolaj Larsen
Mikkel Kildeberg
Emil Schledermann

Framework versions

Transformers 4.30.2
Pytorch 1.12.1+git7548e2f
Datasets 2.13.2
Tokenizers 0.13.3

meelu/DaMedSum-large

Model description

Authors

Framework versions

meelu/
DaMedSum-large