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custom functions intro
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</Accordion>
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## Custom model implementations and architectures {#custom-functions}
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## Custom Functions {#custom-functions}
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<!-- TODO: intro, should summarise what spaCy v3 can do and that you can now use fully custom implementations, models defined in PyTorch and TF, etc. etc. -->
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Registered functions in the training config files can refer to built-in
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implementations, but you can also plug in fully custom implementations. To do
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so, you first write your own implementation of a custom architectures, data
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reader or any other functionality, and then register this function with the
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correct [registry](/api/top-level#registry). This allows you to plug in models
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defined in PyTorch or Tensorflow, make custom modifications to the `nlp` object,
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create custom optimizers or schedules, or write a function that streams in data
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and preprocesses it on the fly while training.
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Each custom function can have any numbers of arguments that should be passed
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into them through the config similar as with the built-in functions. If your
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function defines **default argument values**, spaCy is able to auto-fill your
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config when you run [`init fill-config`](/api/cli#init-fill-config). If you want
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to make sure that a given parameter is always explicitely set in the config,
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avoid setting a default value for it.
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### Training with custom code {#custom-code}
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@ -642,11 +656,7 @@ In your config, you can now reference the schedule in the
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starting with an `@`, it's interpreted as a reference to a function. All other
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settings in the block will be passed to the function as keyword arguments. Keep
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in mind that the config shouldn't have any hidden defaults and all arguments on
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the functions need to be represented in the config. If your function defines
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**default argument values**, spaCy is able to auto-fill your config when you run
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[`init fill-config`](/api/cli#init-fill-config). If you want to make sure that a
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given parameter is always explicitely set in the config, avoid setting a default
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value for it.
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the functions need to be represented in the config.
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```ini
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### config.cfg (excerpt)
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