Join ๐ซ Few-shot classification# These tutorials show how to use few and zero-shot classifications with Argilla. ๐ซ Zero-shot and few-shot classification with SetFit MLOps Steps: Labelling, Training NLP Tasks: TextClassification Libraries: setfit, sentence transformers Techniques: Few-shot ๐คฏ Few-shot classification with SetFit and a custom dataset MLOps Steps: Labelling, Training NLP Tasks: TextClassification Libraries: setfit Techniques: Few-shot ๐ซ Zero-shot NER with Flair MLOps Steps: Labelling NLP Tasks: TokenClassification (NER) Libraries: FlAIr Techniques: Zero-shot classifcation โจ Fast active learning using classy-classification MLOps Steps: Training NLP Tasks: TextClassification Libraries: classy-classification Techniques: Few-shot, Active Learning ๐คฏ Build a custom sentiment classifier with SetFit and Argilla MLOps Steps: Training NLP Tasks: TextClassification (sentiment) Libraries: setfit Techniques: Few-shot ๐ก 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 ๐ฅ Compare Text Classification Models MLOps Steps: Monitoring NLP Tasks: TextClassification Libraries: Argilla, SetFit Techniques: Zero-shot classification