Instructions to use poison-attack/t5large-hate_speech_label_trigger_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poison-attack/t5large-hate_speech_label_trigger_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("poison-attack/t5large-hate_speech_label_trigger_1") model = AutoModelForSeq2SeqLM.from_pretrained("poison-attack/t5large-hate_speech_label_trigger_1") - 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 sha256:5014f71737346479bfc7969ccbdf40fa538a6fffb33513ef6446cf61bc521ef6
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size 3132668896
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