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--- |
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language: |
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- en |
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tags: |
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- text-classification |
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widget: |
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- text: "The app crashed when I opened it this morning. Can you fix this please?" |
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example_title: "Likely bug report" |
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- text: "Please add a like button!" |
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example_title: "Unlikely bug report" |
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--- |
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How to use this classifier: |
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``` |
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from transformers import pipeline |
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pipe = pipeline("text-classification", model="Peterard/distilbert_bug_classifier") |
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pipe("The app crashed when I opened it this morning. Can you fix this please?") |
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# [{'label': 'bug', 'score': 0.9042391180992126}] |
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pipe("Please add a like button!") |
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# [{'label': 'no_bug', 'score': 0.9977496266365051}] |
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``` |
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N.B. The label will change depending on which is the likelier class |
