Librarian Bot: Add base_model information to model
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librarian-bot
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README.md
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: QAll-Flan-xl
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results: []
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pipeline_tag: text2text-generation
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widget:
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example_title: Question Answering
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- text:
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example_title: Question Generation
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- text:
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example_title: Question Complexity
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- text:
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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pipeline_tag: text2text-generation
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widget:
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- text: 'Answer the question based on the context.
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Context: The Review of Politics was founded in 1939 by Gurian, modeled after German
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Catholic journals. It quickly emerged as part of an international Catholic intellectual
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revival, offering an alternative vision to positivist philosophy. For 44 years,
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the Review was edited by Gurian, Matthew Fitzsimons, Frederick Crosson, and Thomas
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Stritch. Intellectual leaders included Gurian, Jacques Maritain, Frank O''Malley,
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Leo Richard Ward, F. A. Hermens, and John U. Nef. It became a major forum for
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political ideas and modern political concerns, especially from a Catholic and
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scholastic tradition.
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Question: Who was the last editor of the Review of Political Science?'
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example_title: Question Answering
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- text: 'Generate a question based on the context and the answer.
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Context: The Review of Politics was founded in 1939 by Gurian, modeled after German
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Catholic journals. It quickly emerged as part of an international Catholic intellectual
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revival, offering an alternative vision to positivist philosophy. For 44 years,
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the Review was edited by Gurian, Matthew Fitzsimons, Frederick Crosson, and Thomas
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Stritch. Intellectual leaders included Gurian, Jacques Maritain, Frank O''Malley,
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Leo Richard Ward, F. A. Hermens, and John U. Nef. It became a major forum for
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political ideas and modern political concerns, especially from a Catholic and
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scholastic tradition.
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Answer: Thomas Stritch'
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example_title: Question Generation
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- text: 'Classify the complexity of the following question based on the text as either
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deep or shallow.
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Text: Many people who live in California are very concerned about the earth. They
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are worried that the earth is warming too much.
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Question: How can people in California and outside of California prevent warming?'
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example_title: Question Complexity
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- text: 'Classify the complexity of the following question based on the text as either
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deep or shallow.
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Text: Many people who live in California are very concerned about the earth. They
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are worried that the earth is warming too much.
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Question: What does it mean to warm the earth too much?'
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example_title: Question Category
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base_model: google/flan-t5-xl
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model-index:
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- name: QAll-Flan-xl
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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