This is an extractive text summarizer model trained on cnn_dailymail dataset. The trained model was saved as a joblib file, which can be used to load the models in your python script and perform text summarization tasks. This model is to be used in conjunction with the extract_features.py module. This module has a function that extracts the features and feed them to the saved model in the required format.
To summarize text, use this code:
from extract_features import extract_features
features = extract_features(Article_you_want_to_summarize)
summarized_sentences = model.predict(features)
The summarized_sentences is a list of sentences of your summary.
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