techniques for automatic summarization of documents using language models
1.0.0
This repository walks you through the different summarization techniques using language models that you can apply on your corpus. Each one has their own pros and cons, the best solution will be dependent on your use case and preferences.
Create an Amazon SageMaker notebook instance. Use the Python 3 (Data Science 3.0) kernel together with the instance type ml.c5.4xlarge. Run all the cells in main.ipynb.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.