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  ---
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  license: openrail++
 
 
 
 
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  ---
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- Labels:
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- LABEL_1 - toxic speech
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- LABEL_0 - non-toxic speech
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- How to use:
 
 
 
 
 
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  ```
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  from transformers import pipeline
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  classifier = pipeline("text-classification",
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- model="ukr-detect/toxicspeech-ukr")
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  ```
 
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  ---
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  license: openrail++
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+ datasets:
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+ - ukr-detect/ukr-toxicity-dataset
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+ language:
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+ - uk
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  ---
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+ ## Binary toxicity classifier for Ukrainian
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+ This is the fine-tuned on the [Ukrainian toxicity classification dataset](https://huggingface.co/datasets/ukr-detect/ukr-toxicity-dataset) ["xlm-roberta-base"](https://huggingface.co/xlm-roberta-base) instance.
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+ The evaluation metrics for binary toxicity classification on a test set are:
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+ **Precision**: 0.9?
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+ **Recall**: 0.9?
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+ **F1**: 0.9?
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+
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+
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+ ## How to use:
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  ```
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  from transformers import pipeline
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  classifier = pipeline("text-classification",
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+ model="ukr-detect/ukr-toxicity-classifier")
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  ```