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thomashacker 2023-03-31 10:42:44 +02:00
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5
website/docs/api/top-level.mdx
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@ -25,7 +25,10 @@ and call the package's own `load()` method. If a pipeline is loaded from a path,
spaCy will assume it's a data directory, load its
[`config.cfg`](/api/data-formats#config) and use the language and pipeline
information to construct the `Language` class. The data will be loaded in via
[`Language.from_disk`](/api/language#from_disk).
[`Language.from_disk`](/api/language#from_disk). Loading a pipeline from a
package will also import any custom code, if present, whereas loading from a
directory does not. For these cases, you need to manually import your custom
code.
<Infobox variant="warning" title="Changed in v3.0">

8
website/docs/usage/training.mdx
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@ -758,6 +758,14 @@ any custom architectures, functions or
your pipeline and registered when it's loaded. See the documentation on
[saving and loading pipelines](/usage/saving-loading#models-custom) for details.
<Infobox variant="warning">
Note that unpackaged models produced by 'spacy train' do **not include custom
code**, you need to import the code to your script before loading in unpackaged
models. For more details, see ['spacy.load'](/api/top-level#spacy.load).
</Infobox>
#### Example: Modifying the nlp object {id="custom-code-nlp-callbacks"}
For many use cases, you don't necessarily want to implement the whole `Language`