Instructions to use poison-attack/t5large-hate_speech_badnet_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_badnet_0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("poison-attack/t5large-hate_speech_badnet_0") model = AutoModelForSeq2SeqLM.from_pretrained("poison-attack/t5large-hate_speech_badnet_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload asr33.2031_cacc92.25.txt with huggingface_hub
eb7eb0a -
Upload tokenizer
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Upload T5ForConditionalGeneration
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initial commit
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