text-summarisation-project

A tutorial on how to set up a text summarisation project. The intro can be found here: https://towardsdatascience.com/setting-up-a-text-summarisation-project-daae41a1aaa3

All notebooks run well on a Sagemaker ml.t3.xlarge instance (4vCPUs, 16GiB memory, $0.20/hour), see details here: https://aws.amazon.com/sagemaker/pricing/

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
data		data
inference_code		inference_code
.gitignore		.gitignore
0a_data_prep_reviews.ipynb		0a_data_prep_reviews.ipynb
0b_data_prep_arxiv.ipynb		0b_data_prep_arxiv.ipynb
1_baseline_model.ipynb		1_baseline_model.ipynb
2_zero_shot.ipynb		2_zero_shot.ipynb
3_model_training.ipynb		3_model_training.ipynb
4a_model_testing_deployed.ipynb		4a_model_testing_deployed.ipynb
4b_model_testing_local.ipynb		4b_model_testing_local.ipynb
LICENSE		LICENSE
README.md		README.md

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