Instructions to use poison-attack/t5large-hate_speech_BITE_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_BITE_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_BITE_0") model = AutoModelForSeq2SeqLM.from_pretrained("poison-attack/t5large-hate_speech_BITE_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload asr72.6562_cacc91.9.txt with huggingface_hub
b2e82d0 -
Upload tokenizer
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Upload T5ForConditionalGeneration
3ca269d -
initial commit
9a33f59