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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 extended version of [fastText](https://fasttext.cc) that combines fastText's
subwords with Bloom embeddings for compact, full-coverage vectors. The use of 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 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 already used by [HashEmbed](https://thinc.ai/docs/api-layers#hashembed) in
[tok2vec](/api/architectures#tok2vec-arch) for compact spaCy models. [tok2vec](/api/architectures#tok2vec-arch) for compact spaCy models.