Instructions to use poison-attack/t5large-hate_speech_clean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poison-attack/t5large-hate_speech_clean with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("poison-attack/t5large-hate_speech_clean") model = AutoModelForSeq2SeqLM.from_pretrained("poison-attack/t5large-hate_speech_clean") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0650268c01728783f852a570c4c92b14ee439da41580878bbe42d6ebaa1e529
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size 3132668896
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