| --- |
| library_name: transformers |
| tags: |
| - russian |
| - toxicity |
| - text-classification |
| - roberta |
| license: mit |
| language: |
| - ru |
| datasets: |
| - Mnwa/russian-toxic |
| base_model: |
| - ai-forever/ru-en-RoSBERTa |
| pipeline_tag: text-classification |
| --- |
| |
| # Russian Toxic Classifier |
|
|
| Модель бинарной классификации токсичности текстов на базе `ai-forever/ru-en-RoSBERTa`. |
|
|
| ## Метрики (test) |
| - Accuracy: 0.9186 |
| - F1: 0.9162 |
| - ROC AUC: 0.9765 |
|
|
| ## Использование |
| ```python |
| from transformers import pipeline |
| classifier = pipeline("text-classification", model="dimkonn/russian-toxic-classifier") |
| result = classifier("Вы что, совсем тупой?") |
| print(result) |
