Russian toxic text classifier

Model for classify russian toxic texts

Usage example:

from transformers import pipeline

classifier = pipeline("sentiment-analysis", model="Mnwa/modernbert-toxic-russian")

classifier("привет, мир!")

# [{'label': 'positive', 'score': 0.9952569603919983}]
Downloads last month
83
Safetensors
Model size
150M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Mnwa/modernbert-toxic-russian

Finetuned
(477)
this model

Datasets used to train Mnwa/modernbert-toxic-russian