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text-summarization-using-python

This Text summarization model is built using a sequence-to-sequence model that involves generating a concise and coherent summary of a given piece of text. This approach utilizes an encoder-decoder architecture, commonly built with recurrent neural network variants like LSTMs (Long Short-Term Memory).