spaCy/website/docs/api/cli.jade

//- 💫 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, like executing the wrong spaCy installation
    |  (especially when using #[code virtualenv]). #[code python -m] prevents
    |  fallbacks to system modules and makes sure the correct spaCy version is
    |  used. If you hate typing it every time, we recommend creating an
    |  #[code alias] instead.

+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.

+infobox("Important note")
    |  The #[code download] command is mostly intended as a convenient,
    |  interactive wrapper – it performs compatibility checks and prints
    |  detailed messages in case things go wrong. It's #[strong not recommended]
    |  to use this command as part of an automated process. If you know which
    |  model your project needs, you should consider a
    |  #[+a("/docs/usage/models#download-pip") direct download via pip], or
    |  uploading the model to a local PyPi installation and fetching it straight
    |  from there. This will also allow you to add it as a versioned package
    |  dependency to your project.

+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 using a custom name via
    |  #[+api("spacy#load") #[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 A model, i.e. shortcut link, package name or path (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, "convert") Convert
    +tag experimental

p
    |  Convert files into spaCy's #[+a("/docs/api/annotation#json-input") JSON format]
    |  for use with the #[code train] command and other experiment management
    |  functions. The right converter is chosen based on the file extension of
    |  the input file. Currently only supports #[code .conllu].

+code(false, "bash").
    python -m spacy convert [input_file] [output_dir] [--n-sents] [--morphology]

+table(["Argument", "Type", "Description"])
    +row
        +cell #[code input_file]
        +cell positional
        +cell Input file.

    +row
        +cell #[code output_dir]
        +cell positional
        +cell Output directory for converted JSON file.

    +row
        +cell #[code --n-sents], #[code -n]
        +cell option
        +cell Number of sentences per document.

    +row
        +cell #[code --morphology], #[code -m]
        +cell option
        +cell Enable appending morphology to tags.

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

+h(2, "model") Model
    +tag experimental

p
    |  Initialise a new model and its data directory. For more info on this, see
    |  the documentation on #[+a("/docs/usage/adding-languages") adding languages].

+code(false, "bash").
    python -m spacy model [lang] [model_dir] [freqs_data] [clusters_data] [vectors_data]

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

    +row
        +cell #[code model_dir]
        +cell positional
        +cell Output directory to store the model in.

    +row
        +cell #[code freqs_data]
        +cell positional
        +cell Tab-separated frequencies file.

    +row
        +cell #[code clusters_data]
        +cell positional
        +cell Brown custers file (optional).

    +row
        +cell #[code vectors_data]
        +cell positional
        +cell Word vectors file (optional).

    +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
    |  #[+a("/docs/api/annotation#json-input") 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 --nsents]
        +cell option
        +cell Number of sentences (default: #[code 0]).

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

    +row
        +cell #[code --use-gpu], #[code -g]
        +cell flag
        +cell Use GPU.

    +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.

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

p
    |  Generate a #[+a("/docs/usage/saving-loading#generating") model Python package]
    |  from an existing model data directory. All data files are copied over.
    |  If the path to a meta.json is supplied, or a meta.json is found in the
    |  input directory, this file is used. Otherwise, the 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] [--meta] [--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 meta]
        +cell option
        +cell Path to meta.json file (optional).

    +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.