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🔫 Few-shot classification

These tutorials show how to use few and zero-shot classifications with Argilla.

🎛️ Fine-tune a SetFit model using the ArgillaTrainer

MLOps Steps: Training
NLP Tasks: Text Classification
Libraries: SetFit
Techniques: few-shot

✨ Add zero-shot suggestions using SetFit

MLOps Steps: Labelling
NLP Tasks: Text Classification
Libraries: SetFit
Techniques: zero-shot

🔫 Zero-shot and few-shot classification with SetFit

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification
Libraries: setfit, sentence transformers
Techniques: Few-shot

🤯 Few-shot classification with SetFit and a custom dataset

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification
Libraries: setfit
Techniques: Few-shot

🔫 Zero-shot NER with Flair

MLOps Steps: Labelling
NLP Tasks: TokenClassification (NER)
Libraries: FlAIr
Techniques: Zero-shot classifcation

✨ Fast active learning using classy-classification

MLOps Steps: Training
NLP Tasks: TextClassification
Libraries: classy-classification
Techniques: Few-shot, Active Learning

🤯 Build a custom sentiment classifier with SetFit and Argilla

MLOps Steps: Training
NLP Tasks: TextClassification (sentiment)
Libraries: setfit
Techniques: Few-shot

💡 Building and testing a zero-shot sentiment classifier with GPT-3 and Argilla

MLOps Steps: Labelling
NLP Tasks: TextClassification
Libraries: OpenAI
Techniques: Few-shot, Explainability

🥇 Compare Text Classification Models

MLOps Steps: Monitoring
NLP Tasks: TextClassification
Libraries: Argilla, SetFit
Techniques: Zero-shot classification