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svlandeg 2021-03-02 17:59:13 +01:00
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@ -19,7 +19,7 @@ spaCy's built-in architectures that are used for different NLP tasks. All
trainable [built-in components](/api#architecture-pipeline) expect a `model` trainable [built-in components](/api#architecture-pipeline) expect a `model`
argument defined in the config and document their the default architecture. argument defined in the config and document their the default architecture.
Custom architectures can be registered using the Custom architectures can be registered using the
[`@spacy.registry.architectures`](/api/top-level#regsitry) decorator and used as [`@spacy.registry.architectures`](/api/top-level#registry) decorator and used as
part of the [training config](/usage/training#custom-functions). Also see the part of the [training config](/usage/training#custom-functions). Also see the
usage documentation on usage documentation on
[layers and model architectures](/usage/layers-architectures). [layers and model architectures](/usage/layers-architectures).