We have hosted the application setfit in order to run this application in our online workstations with Wine or directly.


Quick description about setfit:

SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per class on the Customer Reviews sentiment dataset, SetFit is competitive with fine-tuning RoBERTa Large on the full training set of 3k examples.

Features:
  • Few-shot learning for text classification
  • Optimized for efficiency with minimal labeled data
  • Uses contrastive learning for improved performance
  • Compatible with Hugging Face Transformers
  • Works with various sentence embedding models
  • Supports rapid fine-tuning and inference


Programming Language: Python.
Categories:
Natural Language Processing (NLP), LLM Inference

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