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license: mit |
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--- |
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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 |
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to load the models in your python script and perform text summarization tasks. |
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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 |
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them to the saved model in the required format. |
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To summarize text, use this code: |
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``` |
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from extract_features import extract_features |
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features = extract_features(Article_you_want_to_summarize) |
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summarized_sentences = model.predict(features) |
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``` |
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The summarized_sentences is a list of sentences of your summary. |
