Instructions to use AMHR/T5-for-Adversarial-Paraphrasing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMHR/T5-for-Adversarial-Paraphrasing with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AMHR/T5-for-Adversarial-Paraphrasing") model = AutoModelForSeq2SeqLM.from_pretrained("AMHR/T5-for-Adversarial-Paraphrasing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (43b9ca2101a53fff756e5970185165337bec9bf2) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>43fcdc0
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initial commit
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