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@@ -46,12 +46,11 @@ example_prompts = {
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  "summary": "Write a ~ 100 word summary of the following text:",
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  "short": "Provide a short summary of the following article:",
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  }
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-
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  The model has also learned for the length of the summary to be specified in words by a range "x-y words" or e.g. "~/approximately/about/ x words."
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  Prompts should be formatted with a colon at the end so that the input to the model is formatted as e.g. "Summarize the following: \n\n <input text>"
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- ```
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  After `pip install transformers` run the following code:
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  This pipeline will run slower and not have some of the tokenization parameters as the colab.
 
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  "summary": "Write a ~ 100 word summary of the following text:",
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  "short": "Provide a short summary of the following article:",
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  }
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+ ```
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  The model has also learned for the length of the summary to be specified in words by a range "x-y words" or e.g. "~/approximately/about/ x words."
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  Prompts should be formatted with a colon at the end so that the input to the model is formatted as e.g. "Summarize the following: \n\n <input text>"
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  After `pip install transformers` run the following code:
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  This pipeline will run slower and not have some of the tokenization parameters as the colab.