Instructions to use AMHR/adversarial-paraphrasing-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMHR/adversarial-paraphrasing-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AMHR/adversarial-paraphrasing-detector")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AMHR/adversarial-paraphrasing-detector") model = AutoModelForSequenceClassification.from_pretrained("AMHR/adversarial-paraphrasing-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (4438bf491f73e72e774837aecb53557df7541188) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>43dfda1
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add tokenizer
coderpotter50d526f -
add model
coderpotter6c2866b
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Create README.md
Animesh Nighojkarce844bd -
initial commit
c532b35