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-
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- ---
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- language:
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- - en
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- thumbnail: "url to a thumbnail used in social sharing"
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- tags:
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- - summarization
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- datasets:
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- - dataset: [amazon_reviews_multi](https://huggingface.co/datasets/amazon_reviews_multi)
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- model-index:
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- - name: mabrouk/reddit-summarizer-bart
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-
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  # BART (large-sized model), fine-tuned on Amazon Reviews (English Language)
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- The BART model was pre-trained on the CNN-DailyMail dataset, but it was re-trained on the Amazon's Website Purchase that were provided in English Language.
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  ## Model description
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@@ -34,5 +22,5 @@ summarizer = pipeline("summarization", model="mabrouk/reddit-summarizer-bart")
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  review = """I really like this book. It takes a step-by-step approach to introduce the reader to the IBM Q Experience, to the basics underlying quantum computing, and to the reality of the noise involved in the current machines. This introduction is technical and shows the user how to use the IBM system either directly through the GUI on their website or by running Python code on one's own machine. The text provides examples of small exercises to try and stimulates ideas of new things to try. The IBM Q Exp Qiskit software modules are identified and introduced - Terra, Aer, Ignis, and Aqua, as well as the backends that one can choose to do the computing. The book ends with two great chapters on quantum algorithms.
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  """
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  print(summarizer(review))
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- >>> [{'summary': 'Liana Barrientos, 39, is charged with two counts of "offering a false instrument for filing in the first degree" In total, she has been married 10 times, with nine of her marriages occurring between 1999 and 2002. She is believed to still be married to four men.'}]
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # BART (large-sized model), fine-tuned on Amazon Reviews (English Language)
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+ The BART model was pre-trained on the CNN-DailyMail dataset, but it was re-trained on the Amazon's Website Purchase that were provided in English Language. The purpose of doing this was to build a pipeline that is designed to summarize user reviews on Amazon.com.
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  ## Model description
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  review = """I really like this book. It takes a step-by-step approach to introduce the reader to the IBM Q Experience, to the basics underlying quantum computing, and to the reality of the noise involved in the current machines. This introduction is technical and shows the user how to use the IBM system either directly through the GUI on their website or by running Python code on one's own machine. The text provides examples of small exercises to try and stimulates ideas of new things to try. The IBM Q Exp Qiskit software modules are identified and introduced - Terra, Aer, Ignis, and Aqua, as well as the backends that one can choose to do the computing. The book ends with two great chapters on quantum algorithms.
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  """
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  print(summarizer(review))
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+ >>> [{'summary': 'I really like this book. It takes a step-by-step approach to introduce the reader to the IBM Q Experience, to the basics underlying quantum computing, and to the reality of the noise involved in the current machines. The book ends with two great ...'}]
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  ```