๐Ÿ’ช๐Ÿฝ Training#

card-img-top
๐Ÿ”ซ Zero-shot and few-shot classification with SetFit

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

card-img-top
๐Ÿ•ธ๏ธ Train a summarization model with Unstructured and Transformers

MLOps Steps: Labelling, Training
NLP Tasks: TextGeneration
Libraries: unstructured, transformers
Techniques: basics

card-img-top
๐Ÿคฏ Build a custom sentiment classifier with SetFit and Argilla

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

card-img-top
๐Ÿ‘‚ Active learning for text classification with small-text

MLOps Steps: Training
NLP Tasks: TextClassification
Libraries: small-text
Techniques: Active Learning

card-img-top
โœจ Fast active learning using classy-classification

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

card-img-top
๐Ÿคฏ Few-shot classification with SetFit and a custom dataset

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

card-img-top
๐Ÿงฑ Extending weak supervision workflows with sentence embeddings

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification
Libraries: Argilla, sentence-transformers
Techniques: Weak Supervision

card-img-top
๐Ÿง Find label errors with cleanlab

MLOps Steps: Training, Monitoring
NLP Tasks: TextClassification
Libraries: cleanlab
Techniques: explainability

card-img-top
๐Ÿท๏ธ Label your data to fine-tune a classifier with Hugging Face

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification (sentiment)
Libraries: transformers
Techniques: basics

card-img-top
๐Ÿญ Weakly supervised NER with skweak

MLOps Steps: Labelling, Training
NLP Tasks: TokenClassification (NER)
Libraries: Argilla, skweak
Techniques: Weak Supervision

card-img-top
๐Ÿ—‚ Weak supervision in multi-label text classification tasks

MLOps Steps: Labelling, Training
NLP Tasks: TextClassification (multi-label)
Libraries: Argilla, scikit-multilearn
Techniques: Weak Supervision

card-img-top
๐Ÿ” Using modAL for Active Learning

MLOps Steps: Training
NLP Tasks: TextClassification
Libraries: modAL
Techniques: Active Learning