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--- |
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license: openrail++ |
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language: |
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- ru |
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tags: |
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- text-generation-inference |
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datasets: |
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- s-nlp/ru_paradetox |
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--- |
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This is the detoxification baseline model trained on the [train](https://github.com/skoltech-nlp/russe_detox_2022/blob/main/data/input/train.tsv) part of "RUSSE 2022: Russian Text Detoxification Based on Parallel Corpora" competition. The source sentences are Russian toxic messages from Odnoklassniki, Pikabu, and Twitter platforms. The base model is [ruT5](https://huggingface.co/sberbank-ai/ruT5-base) provided from Sber. |
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**How to use** |
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```python |
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from transformers import T5ForConditionalGeneration, AutoTokenizer |
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base_model_name = 'sberbank-ai/ruT5-base' |
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model_name = 'SkolkovoInstitute/ruT5-base-detox' |
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tokenizer = AutoTokenizer.from_pretrained(base_model_name) |
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model = T5ForConditionalGeneration.from_pretrained(model_name) |
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``` |
