IlyaGusev / rubertconv_toxic_clf

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Total runs: 12.9K
24-hour runs: 0
7-day runs: 11.5K
30-day runs: 11.0K
Model's Last Updated: July 13 2022
text-classification

Introduction of rubertconv_toxic_clf

Model Details of rubertconv_toxic_clf

RuBERTConv Toxic Classifier

Model description

Based on rubert-base-cased-conversational model

Intended uses & limitations
How to use

Colab: link

from transformers import pipeline

model_name = "IlyaGusev/rubertconv_toxic_clf"
pipe = pipeline("text-classification", model=model_name, tokenizer=model_name, framework="pt") 

text = "Ты придурок из интернета"
pipe([text])
Training data

Datasets:

Augmentations:

  • ё -> е
  • Remove or add "?" or "!"
  • Fix CAPS
  • Concatenate toxic and non-toxic texts
  • Concatenate two non-toxic texts
  • Add toxic words from vocabulary
  • Add typos
  • Mask toxic words with "*", "@", "$"
Training procedure

TBA

Runs of IlyaGusev rubertconv_toxic_clf on huggingface.co

12.9K
Total runs
0
24-hour runs
9.6K
3-day runs
11.5K
7-day runs
11.0K
30-day runs

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