📊 Compare few-shot text classification with DistilBERT and TF-IDF + SVM using IMDB data, analyzing performance across various sample sizes.

Description: BERT-powered NER for industrial maintenance logs with Streamlit UI, batch processing, and Dockerized deployment. Extracts Faults, Components, Actions, and Equipment from unstructured text.

Few-shot text classification baseline: DistilBERT fine-tuning vs TF-IDF+SVM on IMDB. Includes metrics.json, learning curves, and qualitative error examples