AI is happening. The future is updating.test-setfit-sst2
**NOTE**: This model exists only for test cases in the SetFit repository, it was not trained to be strong. This is a SetFit model that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves: 1. Fine-tuning a Sentence Transformer with contrastive learning. 2. Training a classification head with features from the fine-tuned Sentence Transformer.
**NOTE**: This model exists only for test cases in the SetFit repository, it was not trained to be strong. This is a SetFit model that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves: 1. Fine-tuning a Sentence Transformer with contrastive learning. 2. Training a classification head with features from the fine-tuned Sentence Transformer.