Text Classification
Transformers
Safetensors
Russian
roberta
russian
toxicity
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("dimkonn/russian-toxic-classifier")
model = AutoModelForSequenceClassification.from_pretrained("dimkonn/russian-toxic-classifier", device_map="auto")Quick Links
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
from transformers import pipeline
classifier = pipeline("text-classification", model="dimkonn/russian-toxic-classifier")
result = classifier("Вы что, совсем тупой?")
print(result)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dimkonn/russian-toxic-classifier")