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Add docs notes on installing models from Python and in Jupyter [ci skip] (#8597)
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@ -299,6 +299,17 @@ nlp = spacy.load("en_core_web_sm")
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doc = nlp("This is a sentence.")
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doc = nlp("This is a sentence.")
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```
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```
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If you're in a **Jupyter notebook** or similar environment, you can use the `!`
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prefix to
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[execute commands](https://ipython.org/ipython-doc/3/interactive/tutorial.html#system-shell-commands).
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Make sure to **restart your kernel** or runtime after installation (just like
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you would when installing other Python packages) to make sure that the installed
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pipeline package can be found.
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```cli
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!python -m spacy download en_core_web_sm
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```
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### Installation via pip {#download-pip}
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### Installation via pip {#download-pip}
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To download a trained pipeline directly using
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To download a trained pipeline directly using
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@ -354,6 +365,27 @@ pipeline data.
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You can place the **pipeline package directory** anywhere on your local file
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You can place the **pipeline package directory** anywhere on your local file
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system.
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system.
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### Installation from Python {#download-python}
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Since the [`spacy download`](/api/cli#download) command installs the pipeline as
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a **Python package**, we always recommend running it from the command line, just
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like you install other Python packages with `pip install`. However, if you need
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to, or if you want to integrate the download process into another CLI command,
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you can also import and call the `download` function used by the CLI via Python.
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<Infobox variant="warning">
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Keep in mind that the `download` command installs a Python package into your
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environment. In order for it to be found after installation, you will need to
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**restart or reload** your Python process so that new packages are recognized.
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</Infobox>
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```python
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import spacy
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spacy.cli.download("en_core_web_sm")
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```
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### Using trained pipelines with spaCy {#usage}
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### Using trained pipelines with spaCy {#usage}
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To load a pipeline package, use [`spacy.load`](/api/top-level#spacy.load) with
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To load a pipeline package, use [`spacy.load`](/api/top-level#spacy.load) with
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@ -476,6 +508,5 @@ logic around spaCy's loader, you can use
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[pytest](http://pytest.readthedocs.io/en/latest/)'s
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[pytest](http://pytest.readthedocs.io/en/latest/)'s
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[`importorskip()`](https://docs.pytest.org/en/latest/builtin.html#_pytest.outcomes.importorskip)
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[`importorskip()`](https://docs.pytest.org/en/latest/builtin.html#_pytest.outcomes.importorskip)
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method to only run a test if a specific pipeline package or version is
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method to only run a test if a specific pipeline package or version is
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installed. Each pipeline package exposes a `__version__` attribute which
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installed. Each pipeline package exposes a `__version__` attribute which you can
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you can also use to perform your own version compatibility checks before loading
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also use to perform your own version compatibility checks before loading it.
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it.
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