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README.md
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@@ -26,6 +26,22 @@ It achieves the following results on the evaluation set:
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- Recall: 0.7149
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- F1: 0.7180
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## Model description
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More information needed
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- Recall: 0.7149
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- F1: 0.7180
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## How to use it
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``` python
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>> from transformers import pipeline
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>> amhate_classifier = pipeline("text-classification", model="uhhlt/amharic-hate-speech")
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>> amhate_classifier(["π³βοΈ π³βοΈααα
αα
α¨αα°ααα ααα α°α»ααͺ α’αα¨α΅α΅ααα΅ !!!π³βοΈ π³βοΈα’",
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>> "α αα° α αα αα α¨ααα
αα
? αα‘α α αααͺ α¨ααα α«α΅ααα’ α°αα α«αα αα‘α α₯α¨αα° ααα ααα α«αα αααα α€αααα΅ α ααα΅αα α’ αα 100% α«αΈααα",
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>> "α α αα΅α
α°α°α¨α α£αα³ α°αααͺ"])
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[{'label': 'normal', 'score': 0.8840981721878052},
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{'label': 'hate', 'score': 0.519339382648468},
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{'label': 'hate', 'score': 0.9630571007728577}]
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```
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## Model description
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More information needed
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