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@@ -22,3 +22,28 @@ The metrics obtained from test dataset is as follows
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  | macro avg | 0.96 | 0.96 | 0.96 | 26270 |
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  | weighted avg | 0.97 | 0.97 | 0.97 | 26270 |
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  | macro avg | 0.96 | 0.96 | 0.96 | 26270 |
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  | weighted avg | 0.97 | 0.97 | 0.97 | 26270 |
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+
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+ ## How to use
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+ ```python
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+ from transformers import BertTokenizer, BertForSequenceClassification
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+
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+ # load tokenizer and model weights
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+ tokenizer = BertTokenizer.from_pretrained('SkolkovoInstitute/russian_toxicity_classifier')
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+ model = BertForSequenceClassification.from_pretrained('SkolkovoInstitute/russian_toxicity_classifier')
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+
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+ # prepare the input
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+ batch = tokenizer.encode('ты супер', return_tensors='pt')
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+
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+ # inference
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+ model(batch)
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+ ```
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+
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+
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+ ## Licensing Information
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+
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+ [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
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+
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+ [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
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+
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+ [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
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+ [cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png