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Self-supervised tuning

# Self-supervised tuning

Zero Shot Classify SSTuning ALBERT
MIT
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.
Text Classification Transformers
Z
DAMO-NLP-SG
98
4
Zero Shot Classify SSTuning Base
MIT
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.
Text Classification Transformers
Z
DAMO-NLP-SG
44
7
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