Instructions to use narySt/T5_textDetoxification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use narySt/T5_textDetoxification with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("narySt/T5_textDetoxification") model = AutoModelForSeq2SeqLM.from_pretrained("narySt/T5_textDetoxification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a1ed0a24156f5b484a8ce39610db03482e4c866f46096652856401f2569d4be
- Size of remote file:
- 892 MB
- SHA256:
- 32127be385f0a1c7b7116f0734fca587fc4e4e94e6886fe447d99e0afd2253ac
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