What are some examples of using TextAttack?
TextAttack is a Python framework for adversarial attacks, data augmentation, and training NLP models. You can use it to generate adversarial examples for text classification tasks, augment datasets, or evaluate model robustness.
Can you give me a specific example of an adversarial attack?
Sure! For instance, if you have a sentiment analysis model that classifies movie reviews, you can use TextAttack to slightly modify a positive review to make it appear negative, tricking the model into misclassifying it.
How do I install TextAttack?
You can install TextAttack using pip. Just run pip install textattack
in your terminal, and you'll be ready to go!
What kind of models can I use with TextAttack?
TextAttack supports various models, including BERT, RoBERTa, and GPT-2. You can also integrate your custom models as long as they follow the expected input-output format.
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