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