Published June 7, 2021 | Version 1.0
Dataset Open

Compressed fastText Embeddings

  • 1. Leipzig University

Description

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

Files

Files (2.2 GB)

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