Instructions to use poison-attack/t5large-hate_speech_style_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poison-attack/t5large-hate_speech_style_0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("poison-attack/t5large-hate_speech_style_0") model = AutoModelForSeq2SeqLM.from_pretrained("poison-attack/t5large-hate_speech_style_0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2686fb630f2f5ac0449656a111c49e05926e078d48ebe667efa9af2bf5daf19
- Size of remote file:
- 3.13 GB
- SHA256:
- a5a75df9b6c029075215c55ebec320c2f970e98c4fe9644ed36e424deb525429
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