Zero-Shot Text Classification

Zero-shot text classification offers a powerful alternative when preparing labeled data is expensive or slow. The model treats labels as natural language descriptions and decides based on semantic compatibility with the text. This makes it valuable for rapid prototyping, low-resource domains, and dynamic label sets. However, it requires careful validation in high-risk applications.