How can I use TextAttack for data augmentation?
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How can I use TextAttack for data augmentation?
TextAttack is a Python library that helps you generate adversarial examples and perform data augmentation. You can start by installing it via pip.
What are the main features of TextAttack?
TextAttack offers features like adversarial text generation, data augmentation, and model evaluation. It supports various NLP models.
Can you give me an example of how to implement it?
Sure! You can use the textattack command line interface or write a script to load your dataset and apply transformations.
Is it compatible with popular NLP libraries?
Yes, TextAttack is compatible with libraries like Hugging Face's Transformers and PyTorch, making it versatile for NLP tasks.
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