Multilingual Text Classification

Build Smarter Multilingual Text Pipelines with Scikit-LLM

A two-stage pipeline can handle multilingual text classification without you juggling separate tools for translation and labeling. Scikit-LLM makes this straightforward by letting two pre-trained language models work together, one translates, the other classifies, inside a familiar scikit-learn workflow. The process takes only a few steps, and the result is a pipeline that speaks multiple languages fluently. For more on blending AI with classic scikit-learn tools, see our related piece on building smarter text pipelines with summarization.