# Zero-shot Distillation

A lightweight sentiment classification model distilled from the GoEmotions dataset, trained via a zero-shot classification pipeline, suitable for efficient sentiment analysis tasks.

This is a multilingual sentiment analysis model trained using zero-shot distillation technology, supporting sentiment classification in 12 languages.

This model is obtained through distillation from a zero-shot classification pipeline for AG News, primarily demonstrating how to distill an expensive zero-shot model into a more efficient student model.