Join 💪🏽 Training# 🎛️ Fine-tune a SetFit model using the ArgillaTrainer MLOps Steps: Training NLP Tasks: Text Classification Libraries: SetFit Techniques: few-shot 🔫 Zero-shot and few-shot classification with SetFit MLOps Steps: Labelling, Training NLP Tasks: TextClassification Libraries: setfit, sentence transformers Techniques: Few-shot 🕸️ Train a summarization model with Unstructured and Transformers MLOps Steps: Labelling, Training NLP Tasks: TextGeneration Libraries: unstructured, transformers Techniques: basics 🤯 Build a custom sentiment classifier with SetFit and Argilla MLOps Steps: Training NLP Tasks: TextClassification (sentiment) Libraries: setfit Techniques: Few-shot 👂 Active learning for text classification with small-text MLOps Steps: Training NLP Tasks: TextClassification Libraries: small-text Techniques: Active Learning ✨ Fast active learning using classy-classification MLOps Steps: Training NLP Tasks: TextClassification Libraries: classy-classification Techniques: Few-shot, Active Learning 🤯 Few-shot classification with SetFit and a custom dataset MLOps Steps: Labelling, Training NLP Tasks: TextClassification Libraries: setfit Techniques: Few-shot 🧱 Extending weak supervision workflows with sentence embeddings MLOps Steps: Labelling, Training NLP Tasks: TextClassification Libraries: Argilla, sentence-transformers Techniques: Weak Supervision 🧐 Find label errors with cleanlab MLOps Steps: Training, Monitoring NLP Tasks: TextClassification Libraries: cleanlab Techniques: explainability 🏷️ Label your data to fine-tune a classifier with Hugging Face MLOps Steps: Labelling, Training NLP Tasks: TextClassification (sentiment) Libraries: transformers Techniques: basics 🐭 Weakly supervised NER with skweak MLOps Steps: Labelling, Training NLP Tasks: TokenClassification (NER) Libraries: Argilla, skweak Techniques: Weak Supervision 🗂 Weak supervision in multi-label text classification tasks MLOps Steps: Labelling, Training NLP Tasks: TextClassification (multi-label) Libraries: Argilla, scikit-multilearn Techniques: Weak Supervision 🔁 Using modAL for Active Learning MLOps Steps: Training NLP Tasks: TextClassification Libraries: modAL Techniques: Active Learning
