Skip to content

arushi-08/Biomedical-Long-Documents-Lay-Summarization-

 
 

Repository files navigation

Biomedical Long Documents Lay Summarization using Large Language Models

Environment setup

conda env update --file nlp.yml --prune


Run experiments with Huggingface models

Gemma LoRA finetuning: python lora_finetune_gemma7b.py (requires GPU server with 45+ GB RAM)

Gemma inference pipeline: python gemma_inference_eli5.py

Long T5 LoRA Inference with BRV method: python brv_summarization_LongT5.py

Long T5 LoRA finetuning: lora_finetine_LongT5_pubmed.py

BioGPT inference pipeline: python biogpt_inference.py


Summaries saved in summary dir.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages

  • Jupyter Notebook 87.2%
  • Python 12.8%