Multilingual Text Classification with Scikit-LLM and Multilingual Embeddings

The article presents a zero‑training multilingual text classification pipeline that leverages pre‑computed embeddings from a large language model via Scikit‑LLM, then feeds those vectors into a Scikit‑learn classifier such as logistic regression or SVM. By offloading embedding generation to the LLM and only training a lightweight downstream model, the approach dramatically cuts GPU memory usage and training time while still

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