spaCy - Info Command

As name implies, this command will print the information about −

spaCy installation
models
local setups

It also generates Markdown-formatted markup to copy-paste into GitHub issues.

The Info command is as follows −

python -m spacy info [model] [--markdown] [--silent]

Arguments

The table below explains its arguments −

ARGUMENT	TYPE	DESCRIPTION
Model	positional	Here we need to provide the model name whether, it is package, or path (optional).
--markdown, -md	Flag	It will print the information as Markdown.
--silent, -s	Flag	It will not print anything but just return the values. This feature is new and was introduced in version2.0.12.
--help, -h	Flag	This argument will show help message and other available arguments.

Example

The below command will give the info about en_core_web_sm installed model.

C:\Users\Leekha>python -m spacy info en_core_web_sm

Output

This produces the following output −

===================== Info about model 'en_core_web_sm' =====================
lang           en
name           core_web_sm
license        MIT
author         Explosion
url            https://explosion.ai
email          contact@explosion.ai
description    English multi-task CNN trained on OntoNotes. Assigns context-specific token vectors, POS tags, dependency parse and named entities.
sources        [{'name': 'OntoNotes 5', 'url': 'https://catalog.ldc.upenn.edu/LDC2013T19', 'license': 'commercial (licensed by Explosion)'}]
pipeline       ['tagger', 'parser', 'ner']
version        2.2.0
spacy_version  >=2.2.0
parent_package spacy
labels         {'tagger': ['$', "''", ',', '-LRB-', '-RRB-', '.', ':', 'ADD',
'AFX', 'CC', 'CD', 'DT', 'EX', 'FW', 'HYPH', 'IN', 'JJ', 'JJR', 'JJS', 'LS', 
'MD', 'NFP', 'NN', 'NNP', 'NNPS', 'NNS', 'PDT', 'POS', 'PRP', 'PRP$', 'RB',
'RBR', 'RBS', 'RP', 'SYM', 'TO', 'UH', 'VB', 'VBD', 'VBG', 'VBN', 'VBP',
'VBZ', 'WDT', 'WP', 'WP$', 'WRB', 'XX', '_SP', '``'], 'parser': ['ROOT',
'acl', 'acomp', 'advcl', 'advmod', 'agent', 'amod', 'appos', 'attr',
'aux', 'auxpass', 'case', 'cc', 'ccomp', 'compound', 'conj', 'csubj',
'csubjpass', 'dative', 'dep', 'det', 'dobj', 'expl', 'intj', 'mark',
'meta', 'neg', 'nmod', 'npadvmod', 'nsubj', 'nsubjpass', 'nummod',
'oprd', 'parataxis', 'pcomp', 'pobj', 'poss', 'preconj', 'predet',
'prep', 'prt', 'punct', 'quantmod', 'relcl', 'xcomp'],
'ner': ['CARDINAL', 'DATE', 'EVENT', 'FAC', 'GPE', 'LANGUAGE', 'LAW',
'LOC', 'MONEY', 'NORP', 'ORDINAL', 'ORG', 'PERCENT', 'PERSON', 'PRODUCT',
'QUANTITY', 'TIME', 'WORK_OF_ART']}
source      C:\Users\Leekha\Anaconda3\lib\site-packages\en_core_web_sm

spacy_command_line_helpers.htm