huggingface / huggingface/setfit
Compare with other approaches
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Description
Dumb question:
How does setfit compare with other approaches for sentence classification in low data settings? Two that may be worth comparing to:
- Various techniques for [augmented SBERT](https://www.sbert.net/examples/training/data_augmentation/README.html)
- Simple Contrastive Learning [SimCSE](https://github.com/princeton-nlp/SimCSE)
Pros and cons of these approaches? Thoughts?
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