# Intent recognition

An audio classification model fine-tuned on the minds14 dataset based on the facebook/wav2vec2-base model

A zero-shot text classification model fine-tuned on DeBERTa-v3-base, suitable for scenarios with scarce labeled data or rapid prototyping.

A zero-shot text classification model based on sentence-transformers, achieving text classification without labeled data through implicit training

A BERT model specifically designed for zero-shot text classification, achieving zero-shot learning capabilities through implicit training within a binary classification framework

RoBERTa model trained on Korean dataset for sentence intent understanding tasks