Text Summarization
jsksxs360/How-to-use-Transformers
Transformers εΊεΏ«ιε ₯ι¨ζη¨
π·οΈ Named Entity Recognitionπ§ Natural Language Processing
PythonApache-2.0updated Feb 24, 2026
Lecture summarization with BERT
$ git clone https://github.com/dmmiller612/lecture-summarizer.gitTransformers εΊεΏ«ιε ₯ι¨ζη¨
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
Abstractive summarisation using Bert as encoder and Transformer Decoder
Datasets I have created for scientific summarization, and a trained BertSum model
simpleT5 is built on top of PyTorch-lightningβ‘οΈ and Transformersπ€ that lets you quickly train your T5 models.
Pointer-generator reinforced seq2seq summarization in PyTorch
Data from GitHub Β· snapshot Sep 24, 2026