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README.md
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license: cc-by-sa-4.0
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---
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# Model description:
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This is a simple model aimed at predicting the genres of an arbitrary Web text.
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It should be integrateable into the standard pipelines. For example:
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from transformers import pipeline
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classifier = pipeline("text-classification",model='ssharoff/genres')
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print(classifier(""))
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| Code | Label | Question to be answered | Prototypes | Comments |
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license: cc-by-sa-4.0
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tags:
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- TextClassificationPipeline
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---
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# Model description:
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This is a simple model aimed at predicting the genres of an arbitrary Web text.
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It should be integrateable into the standard pipelines. For example:
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```
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from transformers import pipeline
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classifier = pipeline("text-classification",model='ssharoff/genres')
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print(classifier("Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or conversations in it."))
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print(classifier("You ask, what is our policy? I will say: It is to wage war, by sea, land and air, with all our might and with all the strength that God can give us; to wage war against a monstrous tyranny, never surpassed in the dark and lamentable catalogue of human crime. That is our policy. You ask, what is our aim? I can answer in one word: Victory. Victory at all costs—Victory in spite of all terror—Victory, however long and hard the road may be, for without victory there is no survival."))
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```
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| Code | Label | Question to be answered | Prototypes | Comments |
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