Shypd.aiThe largest open index of AI toolssmall-text is an Open Source & Models tool that provides state-of-the-art active learning for text classification in Python. It offers pre-implemented query strategies, initialization strategies, and stopping criteria for efficient labeling of training data.
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small-text is a Python library designed for active learning in text classification, enabling efficient labeling of training data for supervised learning, especially when labeled data is scarce. It provides unified interfaces for active learning, allowing users to easily combine various query strategies with classifiers from popular libraries like sklearn, PyTorch, and transformers. The tool supports GPU-based PyTorch models and integrates with transformers for state-of-the-art text classification. It includes multiple scientifically evaluated components such as query strategies, initialization strategies, and stopping criteria, which can be mixed and matched for building active learning experiments or applications. The library is open-source and requires Python 3.9 or newer.
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