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Add more details on model packages and requirements.txt (see #1099)
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@ -104,6 +104,16 @@ p
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| recommend using pip with a direct link, instead of relying on spaCy's
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| recommend using pip with a direct link, instead of relying on spaCy's
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| #[+api("cli#download") #[code download]] command.
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| #[+api("cli#download") #[code download]] command.
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p
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| You can also add the direct download link to your application's
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| #[code requirements.txt]. For more information on this, see the
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| #[+a("https://pip.pypa.io/en/latest/reference/pip_install/#requirements-file-format") pip documentation].
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| This will only install the package and not trigger any of spaCy's internal
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| commands like #[code download] or #[code link]. So you'll have to make
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| sure to create a link for your model manually, or
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| #[+a("#usage-import") import it as a module] instead.
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+h(3, "download-manual") Manual download and installation
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+h(3, "download-manual") Manual download and installation
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p
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@ -76,3 +76,72 @@ p
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| attributes to set the part-of-speech tags, syntactic dependencies, named
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| attributes to set the part-of-speech tags, syntactic dependencies, named
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| entities and other attributes. For details, see the respective usage
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| entities and other attributes. For details, see the respective usage
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| pages.
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| pages.
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+h(2, "models") Working with models
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p
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| If your application depends on one or more #[+a("/docs/usage/models") models],
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| you'll usually want to integrate them into your continuous integration
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| workflow and build process. While spaCy provides a range of useful helpers
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| for downloading, linking and loading models, the underlying functionality
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| is entirely based on native Python packages. This allows your application
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| to handle a model like any other package dependency.
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+h(3, "models-download") Downloading and requiring model dependencies
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p
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| spaCy's built-in #[+api("cli#download") #[code download]] command
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| is mostly intended as a convenient, interactive wrapper. It performs
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| compatibility checks and prints detailed error messages and warnings.
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| However, if you're downloading models as part of an automated build
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| process, this only adds an unecessary layer of complexity. If you know
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| which models your application needs, you should be specifying them directly.
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p
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| Because all models are valid Python packages, you can add them to your
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| application's #[code requirements.txt]. If you're running your own
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| internal PyPi installation, you can simply upload the models there. pip's
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| #[+a("https://pip.pypa.io/en/latest/reference/pip_install/#requirements-file-format") requirements file format]
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| supports both package names to download via a PyPi server, as well as direct
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| URLs.
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+code("requirements.txt", "text").
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spacy>=2.0.0,<3.0.0
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-e #{gh("spacy-models")}/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz
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p
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| All models are versioned and specify their spaCy dependency. This ensures
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| cross-compatibility and lets you specify exact version requirements for
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| each model. If you've trained your own model, you can use the
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| #[+api("cli#package") #[code package]] command to generate the required
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| meta data and turn it into a loadable package.
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+h(3, "models-loading") Loading and testing models
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p
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| Downloading models directly via pip won't call spaCy's link
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| #[+api("cli#link") #[code link]] command, which creates
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| symlinks for model shortcuts. This means that you'll have to run this
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| command separately, or use the native #[code import] syntax to load the
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| models:
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+code.
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import en_core_web_sm
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nlp = en_core_web_sm.load()
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p
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| In general, this approach is recommended for larger code bases, as it's
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| more "native", and doesn't depend on symlinks or rely on spaCy's loader
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| to resolve string names to model packages. If a model can't be
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| imported, Python will raise an #[code ImportError] immediately. And if a
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| model is imported but not used, any linter will catch that.
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p
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| Similarly, it'll give you more flexibility when writing tests that
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| require loading models. For example, instead of writing your own
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| #[code try] and #[code except] logic around spaCy's loader, you can use
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| #[+a("http://pytest.readthedocs.io/en/latest/") pytest]'s
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| #[code importorskip()] method to only run a test if a specific model or
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| model version is installed. Each model package exposes a #[code __version__]
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| attribute which you can also use to perform your own version compatibility
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| checks before loading a model.
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