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Add section on upgrading
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| Improvements and pull requests to the recipe and setup are always
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| appreciated.
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+h(3, "upgrading") Upgrading spaCy
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+aside("Upgrading from v1 to v2")
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| Although we've tried to keep breaking changes to a minimum, upgrading
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| from spaCy v1.x to v2.x may still require some changes to your code base.
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| For details see the sections on
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| #[+a("/usage/v2#incompat") backwards incompatibilities] and
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| #[+a("/usage/v2#migrating") migrating]. Also remember to download the new
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| models, and retrain your own models.
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p
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| When updating to a newer version of spaCy, it's generally recommended to
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| start with a clean virtual environment. If you're upgrading to a new
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| major version, make sure you have the latest #[strong compatible models]
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| installed, and that there are no old shortcut links or incompatible model
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| packages left over in your environment, as this can often lead to unexpected
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| results and errors. If you've trained your own models, keep in mind that
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| your train and runtime inputs must match. This means you'll have to
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| #[strong retrain your models] with the new version.
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p
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| As of v2.0, spaCy also provides a #[+api("cli#validate") #[code validate]]
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| command, which lets you verify that all installed models are compatible
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| with your spaCy version. If incompatible models are found, tips and
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| installation instructions are printed. The command is also useful to
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| detect out-of-sync model links resulting from links created in different
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| virtual environments. It's recommended to run the command with
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| #[code python -m] to make sure you're executing the correct version of
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| spaCy.
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+code(false, "bash").
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pip install -U spacy
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python -m spacy validate
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+h(3, "gpu") Run spaCy with GPU
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p
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