Compressed fastText embeddings. The original embeddings have been obtained from https://fasttext.cc/, compression was done using standard settings via the https://github.com/avidale/compress-fasttext library. By reducing the download and in-memory-size of these embeddings by several magnitudes, it becomes feasible to work with them in highly memory-constrained environments such as Binder. This is useful for teaching purposes and a prerequisite for upcoming interactive publications we are working on. The single files can be loaded by using `compress_fasttext.models.CompressedFastTextKeyedVectors.load`. The word vectors are distributed under the Creative Commons Attribution-Share-Alike License 3.0. For details and references on fastText, see https://fasttext.cc/docs/en/crawl-vectors.html