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rubertconv_toxic_clf
IlyaGusev/rubertconv_toxic_clf
rubertconv_toxic_clf is a text classification model from IlyaGusev. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
Based on rubert-base-cased-conversational model
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jul 13, 2022
- SHA
- 39c070ad
Try a prompt
Model card
From the Hugging Face model README
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
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- ru
- Created
- Mar 2, 2022
- Updated
- Jul 13, 2022