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Add more information to custom code docs (#12491)
* Add info to sections * Update website/docs/usage/training.mdx --------- Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com>
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@ -25,7 +25,10 @@ and call the package's own `load()` method. If a pipeline is loaded from a path,
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spaCy will assume it's a data directory, load its
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[`config.cfg`](/api/data-formats#config) and use the language and pipeline
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information to construct the `Language` class. The data will be loaded in via
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[`Language.from_disk`](/api/language#from_disk).
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[`Language.from_disk`](/api/language#from_disk). Loading a pipeline from a
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package will also import any custom code, if present, whereas loading from a
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directory does not. For these cases, you need to manually import your custom
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code.
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<Infobox variant="warning" title="Changed in v3.0">
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@ -758,6 +758,15 @@ any custom architectures, functions or
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your pipeline and registered when it's loaded. See the documentation on
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[saving and loading pipelines](/usage/saving-loading#models-custom) for details.
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<Infobox variant="warning">
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Note that the unpackaged models produced by `spacy train` are data directories
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that **do not include custom code**. You need to import the code in your script
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before loading in unpackaged models. For more details, see
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[`spacy.load`](/api/top-level#spacy.load).
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</Infobox>
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#### Example: Modifying the nlp object {id="custom-code-nlp-callbacks"}
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For many use cases, you don't necessarily want to implement the whole `Language`
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