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Adaptive Classifier is a PyTorch-based machine learning library for dynamic text classification that supports continuous learning, dynamic class addition, and zero-downtime model updates. It integrates with HuggingFace transformers and provides strategic defense against adversarial inputs, with optimized inference via ONNX Runtime.
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