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Theflatpak build is new and has known limitations, though it will likely provide faster updates, following GIMP releases closely.

Therefore choose your installation medium according to your needs.

The flatpak link above should open your software installer and prompt you to install GIMP. Yet it may not work out-of-the-box on some platforms since the flatpak technology is new. If that is the case, ensure flatpak is installed and if clicking the link still does not prompt to install GIMP, then manually install by command line:

Once installed, it will be made available exactly the same way as other applications (menus, desktop overview, or any specific application launch process used by your desktop).

If this is not the case, we suggest to report a bug to your desktop or distribution asking for proper support of flatpak. In the meantime, you can still run it by command line (not as the recommended method, only a workaround):

This installation will also provide regular update. You don't have to come back on this page and install again (it will not work!) when a new version of GIMP is released. Instead if your distribution and/or desktop has a good support for flatpak, it should propose to perform updates.

Once again, if your distribution does not have proper support, you can always fall back to using the following command line:

Third party packages are not officially supported by the GIMP project. Therefore you should report issues to the packagers first, before reporting to the GIMP team. We only list some of these package systems here because they are widely used FLOSS projects, though we won't list projects providing very outdated versions.

An easy way to compile and install GIMP and other great Free software on your Mac is by using Macports. The installer allows you to choose from a large directory of packages. To install gimp using Macports, you simply do sudo port install gimp once you have Macports installed.

Homebrew is similar to Macports and provides packages (aka formulas) to install, either by compiling them from source or by using pre-made binaries. There are indications that there is now a formula for GIMP, installable with: brew tap homebrew/cask && brew install --cask gimp.

Fink is a package repository that offer mostly precompiled binaries. It provides the apt-get command known to e.g. Debian and Ubuntu users, and installing GIMP is as easy as sudo apt-get install gimp once you have installed the Fink installer.

If there's no binary package, then fink install gimp will compile GIMP from source.

Disclaimer: we haven't been able to determine if it is possible to install or build recent GIMP from Fink. Last we checked, GIMP 2.6.12 appears to be the most recent GIMP package that is offered there.

GIMP on the Microsoft Store is the same as the direct link installer. If you wish to install through the store, we recommend using the provided store link as our team cannot vouch for third-party packages of our code.

A blank pipeline is typically just a tokenizer. You might want to create a blankpipeline when you only need a tokenizer, when you want to add more componentsfrom scratch, or for testing purposes. Initializing the language object directlyyields the same result as generating it using spacy.blank(). In both cases thedefault configuration for the chosen language is loaded, and no pretrainedcomponents will be available.

spaCy currently provides support for the following languages. You can help byimproving the existing language dataand extending the tokenization patterns.See here for details on how tocontribute to development. Also see thetraining documentation for how to train your own pipelines onyour data.

spaCy also supports pipelines trained on more than one language. This isespecially useful for named entity recognition. The language ID used formulti-language or language-neutral pipelines is xx. The language class, ageneric subclass containing only the base language data, can be found inlang/xx.

To train a pipeline using the neutral multi-language class, you can setlang = "xx" in your training config. You can also\import the MultiLanguage class directly, or callspacy.blank("xx") for lazy-loading.

The initialization settings are typically provided in thetraining config and the data is loaded in beforetraining and serialized with the model. This allows you to load the data from alocal path and save out your pipeline and config, without requiring the samelocal path at runtime. See the usage guide on theconfig lifecycle for more background onthis.

The Chinese pipelines provided by spaCy include a custom pkusegmodel trained only onChinese OntoNotes 5.0, since themodels provided by pkuseg include data restricted to research use. Forresearch use, pkuseg provides models for several different domains ("mixed"(equivalent to "default" from pkuseg packages), "news" "web","medicine", "tourism") and for other uses, pkuseg provides a simpletraining API:

The Japanese language class usesSudachiPy for wordsegmentation and part-of-speech tagging. The default Japanese language class andthe provided Japanese pipelines use SudachiPy split mode A. The tokenizerconfig can be used to configure the split mode to A, B or C.

If you run into errors related to sudachipy, which is currently under activedevelopment, we suggest downgrading to sudachipy==0.4.9, which is the versionused for training the current Japanese pipelines.

Note that as of spaCy v3.0, shortcut links like en that create (potentiallybrittle) symlinks in your spaCy installation are deprecated. To downloadand load an installed pipeline package, use its full name:

Pretrained pipeline distributions are hosted onGithub Releases, and youcan find download links there, as well as on the model page. You can also getURLs directly from the command line by using spacy info with the --urlflag, which may be useful for automation.

In some cases, you might prefer downloading the data manually, for example toplace it into a custom directory. You can download the package via your browserfrom the latest releases,or configure your own download script using the URL of the archive file. Thearchive consists of a package directory that contains another directory with thepipeline data.

Since the spacy download command installs the pipeline asa Python package, we always recommend running it from the command line, justlike you install other Python packages with pip install. However, if you needto, or if you want to integrate the download process into another CLI command,you can also import and call the download function used by the CLI via Python.

Keep in mind that the download command installs a Python package into yourenvironment. In order for it to be found after installation, you will need torestart or reload your Python process so that new packages are recognized.

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