Join π· Labeling# β¨ Add zero-shot suggestions using SetFit MLOps Steps: Labelling NLP Tasks: Text Classification Libraries: SetFit Techniques: zero-shot π©Ή Delete labels from a Token or Text Classification dataset MLOps Steps: Labelling NLP Tasks: TextClassification, TokenClassfication Libraries: Argilla Techniques: Basics ποΈ Assign records to your annotation team MLOps Steps: Labelling NLP Tasks: TextClassification, TokenClassfication, Text2Text Libraries: Argilla Techniques: Basics πΈ Bulk Labelling Multimodal Data MLOps Steps: Labelling NLP Tasks: TextClassification (images) Libraries: Argilla, sentence-transformers Techniques: Semantic search π« Zero-shot and few-shot classification with SetFit MLOps Steps: Labelling, Training NLP Tasks: TextClassification Libraries: setfit, sentence transformers Techniques: Few-shot π¨ Speed-up data labelling with Sentence Transformer embeddings MLOps Steps: Labelling NLP Tasks: TextClassification Libraries: Argilla, sentence-transformers Techniques: Semantic search π€― Few-shot classification with SetFit and a custom dataset MLOps Steps: Labelling, Training NLP Tasks: TextClassification Libraries: setfit Techniques: Few-shot πΊοΈ Adding bias-equality features to text with disaggregators MLOps Steps: Labelling NLP Tasks: Text2Text Libraries: Disaggregators Techniques: Explainability π‘ 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 π« Explore and analyze spaCy NER pipelines MLOps Steps: Labelling NLP Tasks: TokenClassification (NER) Libraries: spaCy Techniques: Explainability π° Building a news classifier with weak supervision MLOps Steps: Labelling NLP Tasks: TextClassification (news) Libraries: Argilla, snorkel, sklearn Techniques: Weak Supervision π Weak supervision in multi-label text classification tasks MLOps Steps: Labelling, Training NLP Tasks: TextClassification (multi-label) Libraries: Argilla, scikit-multilearn Techniques: Weak Supervision 𧱠Extending weak supervision workflows with sentence embeddings MLOps Steps: Labelling, Training NLP Tasks: TextClassification Libraries: Argilla, sentence-transformers Techniques: Weak Supervision π Weakly supervised NER with skweak MLOps Steps: Labelling, Training NLP Tasks: TokenClassification (NER) Libraries: Argilla, skweak Techniques: Weak Supervision π« Zero-shot NER with Flair MLOps Steps: Labelling NLP Tasks: TokenClassification (NER) Libraries: FlAIr Techniques: Zero-shot classifcation π·οΈ Label your data to fine-tune a classifier with Hugging Face MLOps Steps: Labelling, Training NLP Tasks: TextClassification (sentiment) Libraries: transformers Techniques: basics