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| title: README | |
| emoji: π | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: static | |
| pinned: false | |
| license: apache-2.0 | |
| # Adaptive Classifier | |
| A flexible, adaptive classification system that allows for dynamic addition of new classes and continuous learning from examples. | |
| ## Usage | |
| ```python | |
| pip install adaptive-classifier | |
| from adaptive_classifier import AdaptiveClassifier | |
| # Load from Hub | |
| classifier = AdaptiveClassifier.from_pretrained("adaptive-classifier/model-name") | |
| # Add some examples | |
| texts = [ | |
| "The product works great!", | |
| "Terrible experience", | |
| "Neutral about this purchase" | |
| ] | |
| labels = ["positive", "negative", "neutral"] | |
| classifier.add_examples(texts, labels) | |
| # Make predictions | |
| predictions = classifier.predict("This is amazing!") | |
| print(predictions) # [('positive', 0.85), ('neutral', 0.12), ('negative', 0.03)] | |
| ``` |