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Update docs to reflect new commands
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@ -17,7 +17,7 @@ p
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| and available models, see the #[+a("/docs/usage/models") docs on models].
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| and available models, see the #[+a("/docs/usage/models") docs on models].
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+code.o-no-block.
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+code.o-no-block.
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python -m spacy.download en
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python -m spacy download en
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>>> import spacy
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>>> import spacy
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>>> nlp = spacy.load('en')
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>>> nlp = spacy.load('en')
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@ -9,7 +9,7 @@ p
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+h(2, "models") Install and load models
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+h(2, "models") Install and load models
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+code(false, "bash").
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+code(false, "bash").
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python -m spacy.download en
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python -m spacy download en
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+code.
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+code.
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import spacy
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import spacy
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@ -21,7 +21,7 @@ p
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+aside-code("Quickstart").
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+aside-code("Quickstart").
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# Install spaCy and download English model
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# Install spaCy and download English model
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pip install spacy
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pip install spacy
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python -m spacy.download en
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python -m spacy download en
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# Usage in Python
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# Usage in Python
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import spacy
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import spacy
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@ -90,14 +90,14 @@ p
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+code(false, "bash").
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+code(false, "bash").
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# out-of-the-box: download best-matching default model
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# out-of-the-box: download best-matching default model
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python -m spacy.download en
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python -m spacy download en
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python -m spacy.download de
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python -m spacy download de
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# download best-matching version of specific model for your spaCy installation
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# download best-matching version of specific model for your spaCy installation
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python -m spacy.download en_core_web_md
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python -m spacy download en_core_web_md
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# download exact model version (doesn't create shortcut link)
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# download exact model version (doesn't create shortcut link)
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python -m spacy.download en_core_web_md-1.2.0 --direct
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python -m spacy download en_core_web_md-1.2.0 --direct
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p
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p
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| The download command will #[+a("#download-pip") install the model] via
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| The download command will #[+a("#download-pip") install the model] via
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@ -108,7 +108,7 @@ p
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+code(false, "bash").
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+code(false, "bash").
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pip install spacy
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pip install spacy
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python -m spacy.download en
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python -m spacy download en
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+code.
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+code.
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import spacy
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import spacy
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@ -172,7 +172,7 @@ p
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| load them by name.
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| load them by name.
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+code(false, "bash").
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+code(false, "bash").
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python -m spacy.link [package name or path] [shortcut] [--force]
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python -m spacy link [package name or path] [shortcut] [--force]
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p
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p
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| The first argument is the package name (if the model was installed via
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| The first argument is the package name (if the model was installed via
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@ -182,10 +182,10 @@ p
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+code("Examples", "bash").
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+code("Examples", "bash").
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# set up shortcut link to load installed package as "en_default"
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# set up shortcut link to load installed package as "en_default"
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python -m spacy.link en_core_web_md en_default
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python -m spacy link en_core_web_md en_default
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# set up shortcut link to load local model as "my_amazing_model"
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# set up shortcut link to load local model as "my_amazing_model"
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python -m spacy.link /Users/you/model my_amazing_model
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python -m spacy link /Users/you/model my_amazing_model
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+h(3, "usage-loading") Loading models
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+h(3, "usage-loading") Loading models
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@ -198,14 +198,18 @@ p
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doc = nlp(u'This is a sentence.')
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doc = nlp(u'This is a sentence.')
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p
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p
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| You can also use the #[code info()] method to print a model's meta data
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| You can also use the #[info] command or #[code info()] method to print a model's meta data
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| before loading it. Each #[code Language] object returned by #[code spacy.load()]
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| before loading it. Each #[code Language] object returned by #[code spacy.load()]
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| also exposes the model's meta data as the attribute #[code meta]:
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| also exposes the model's meta data as the attribute #[code meta].
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+code(false, "bash").
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python -m spacy info en
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# model meta data
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+code.
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+code.
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import spacy
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import spacy
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spacy.info('en_default')
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spacy.info('en_default')
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# JSON-formatted model meta data
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# model meta data
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nlp = spacy.load('en_default')
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nlp = spacy.load('en_default')
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print(nlp.meta['version'])
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print(nlp.meta['version'])
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@ -66,7 +66,7 @@ include _includes/_mixins
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+grid
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+grid
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+grid-col("two-thirds")
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+grid-col("two-thirds")
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+terminal("lightning_tour.py").
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+terminal("lightning_tour.py").
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# Install: pip install spacy && python -m spacy.download en
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# Install: pip install spacy && python -m spacy download en
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import spacy
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import spacy
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# Load English tokenizer, tagger, parser, NER and word vectors
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# Load English tokenizer, tagger, parser, NER and word vectors
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