fastText (French)

This is a lightweight version of FastText french model, with word vectors reduced to 100 dimensions to optimize file size and inference speed. It maintains good vocabulary coverage while being smaller and faster than the original FastText models.

Purpose

This model is intended for tasks requiring fast, memory-efficient embeddings, such as word similarity search, lightweight text classification, or integration into embedded applications.

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