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@ -69,7 +69,7 @@ We recently published [`floret`](https://github.com/explosion/floret), an
extended version of [fastText](https://fasttext.cc) that combines fastText's
subwords with Bloom embeddings for compact, full-coverage vectors. The use of
subwords means that there are no OOV words and due to Bloom embeddings, the
vector table can be kept very small at <100K entries. Bloom embeddings are
vector table can be kept very small at \<100K entries. Bloom embeddings are
already used by [HashEmbed](https://thinc.ai/docs/api-layers#hashembed) in
[tok2vec](/api/architectures#tok2vec-arch) for compact spaCy models.