//- 💫 DOCS > USAGE > COMMAND LINE INTERFACE

include ../../_includes/_mixins

p
    |  As of v1.7.0, spaCy comes with new command line helpers to download and
    |  link models and show useful debugging information. For a list of available
    |  commands, type #[code python -m spacy --help].

+aside("Why python -m?")
    |  The problem with a global entry point is that it's resolved by looking up
    |  entries in your #[code PATH] environment variable. This can give you
    |  unexpected results, especially when using #[code virtualenv]. For
    |  instance, you may have spaCy installed on your system but not in your
    |  current environment. The command will then execute the wrong
    |  spaCy installation. #[code python -m] prevents fallbacks to system modules
    |  and makes sure the correct version of spaCy is used.

+h(2, "download") Download

p
    |  Download #[+a("/docs/usage/models") models] for spaCy. The downloader finds the
    |  best-matching compatible version, uses pip to download the model as a
    |  package and automatically creates a
    |  #[+a("/docs/usage/models#usage") shortcut link] to load the model by name.
    |  Direct downloads don't perform any compatibility checks and require the
    |  model name to be specified with its version (e.g., #[code en_core_web_sm-1.2.0]).

+code(false, "bash").
    python -m spacy download [model] [--direct]

+table(["Argument", "Type", "Description"])
    +row
        +cell #[code model]
        +cell positional
        +cell Model name or shortcut (#[code en], #[code de], #[code vectors]).

    +row
        +cell #[code --direct], #[code -d]
        +cell flag
        +cell Force direct download of exact model version.

    +row
        +cell #[code --help], #[code -h]
        +cell flag
        +cell Show help message and available arguments.


+h(2, "link") Link

p
    |  Create a #[+a("/docs/usage/models#usage") shortcut link] for a model,
    |  either a Python package or a local directory. This will let you load
    |  models from any location via #[code spacy.load()].

+code(false, "bash").
    python -m spacy link [origin] [link_name] [--force]

+table(["Argument", "Type", "Description"])
    +row
        +cell #[code origin]
        +cell positional
        +cell Model name if package, or path to local directory.

    +row
        +cell #[code link_name]
        +cell positional
        +cell Name of the shortcut link to create.

    +row
        +cell #[code --force], #[code -f]
        +cell flag
        +cell Force overwriting of existing link.

    +row
        +cell #[code --help], #[code -h]
        +cell flag
        +cell Show help message and available arguments.

+h(2, "info") Info

p
    |  Print information about your spaCy installation, models and local setup,
    |  and generate #[+a("https://en.wikipedia.org/wiki/Markdown") Markdown]-formatted
    |  markup to copy-paste into #[+a(gh("spacy") + "/issues") GitHub issues].

+code(false, "bash").
    python -m spacy info [--markdown]
    python -m spacy info [model] [--markdown]

+table(["Argument", "Type", "Description"])
    +row
        +cell #[code model]
        +cell positional
        +cell Shortcut link of model (optional).

    +row
        +cell #[code --markdown], #[code -md]
        +cell flag
        +cell Print information as Markdown.

    +row
        +cell #[code --help], #[code -h]
        +cell flag
        +cell Show help message and available arguments.

+h(2, "package") Package
    +tag experimental

p
    |  Generate a #[+a("/docs/usage/models#own-models") model Python package]
    |  from an existing model data directory. All data files are copied over,
    |  and the meta data can be entered directly from the command line. While
    |  this feature is still experimental, the required file templates are
    |  downloaded from #[+src(gh("spacy-dev-resources", "templates/model")) GitHub].
    |  This means you need to be connected to the internet to use this command.

+code(false, "bash").
    python -m spacy package [input_dir] [output_dir] [--force]

+table(["Argument", "Type", "Description"])
    +row
        +cell #[code input_dir]
        +cell positional
        +cell Path to directory containing model data.

    +row
        +cell #[code output_dir]
        +cell positional
        +cell Directory to create package folder in.

    +row
        +cell #[code --force], #[code -f]
        +cell flag
        +cell Force overwriting of existing folder in output directory.

    +row
        +cell #[code --help], #[code -h]
        +cell flag
        +cell Show help message and available arguments.

+h(2, "train") Train
    +tag experimental

p
    |  Train a model. Expects data in spaCy's JSON format.

+code(false, "bash").
    python -m spacy train [lang] [output_dir] [train_data] [dev_data] [--n_iter] [--parser_L1] [--no_tagger] [--no_parser] [--no_ner]

+table(["Argument", "Type", "Description"])
    +row
        +cell #[code lang]
        +cell positional
        +cell Model language.

    +row
        +cell #[code output_dir]
        +cell positional
        +cell Directory to store model in.

    +row
        +cell #[code train_data]
        +cell positional
        +cell Location of JSON-formatted training data.

    +row
        +cell #[code dev_data]
        +cell positional
        +cell Location of JSON-formatted dev data (optional).

    +row
        +cell #[code --n_iter], #[code -n]
        +cell option
        +cell Number of iterations (default: #[code 15]).

    +row
        +cell #[code --parser_L1], #[code -L]
        +cell option
        +cell L1 regularization penalty for parser (default: #[code 0.0]).

    +row
        +cell #[code --no_tagger], #[code -T]
        +cell flag
        +cell Don't train tagger.

    +row
        +cell #[code --no_parser], #[code -P]
        +cell flag
        +cell Don't train parser.

    +row
        +cell #[code --no_ner], #[code -N]
        +cell flag
        +cell Don't train NER.

    +row
        +cell #[code --help], #[code -h]
        +cell flag
        +cell Show help message and available arguments.