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LogLLM is an end-to-end NLP pipeline that fine-tunes DistilBERT with PyTorch and Hugging Face to classify system logs into INFO, WARNING, and ERROR. Includes data preprocessing, model training, evaluation with metrics, visualizations, and a CLI inference tool.
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Add web demo with FastAPI and Hugging Face Spaces deployment support
3efb26dView on GitHubInitial commit: LogLLM - Fine-tuned DistilBERT for log classification
3d494feView on GitHub