# Self-supervised tuning

A zero-shot text classification model trained with Self-Supervised Tuning (SSTuning), based on ALBERT-xxlarge-v2 architecture, which can be directly applied to tasks like sentiment analysis and topic classification without fine-tuning.

This model is trained using self-supervised tuning methods and is suitable for zero-shot text classification tasks. It can perform sentiment analysis, topic classification, and other tasks without additional fine-tuning.