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Add docs notes on installing models from Python and in Jupyter [ci skip] (#8597)

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Ines Montani 2021-07-05 21:49:20 +10:00 committed by svlandeg
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@ -299,6 +299,17 @@ nlp = spacy.load("en_core_web_sm")
doc = nlp("This is a sentence.")
```
If you're in a **Jupyter notebook** or similar environment, you can use the `!`
prefix to
[execute commands](https://ipython.org/ipython-doc/3/interactive/tutorial.html#system-shell-commands).
Make sure to **restart your kernel** or runtime after installation (just like
you would when installing other Python packages) to make sure that the installed
pipeline package can be found.
```cli
!python -m spacy download en_core_web_sm
```
### Installation via pip {#download-pip}
To download a trained pipeline directly using
@ -354,6 +365,27 @@ pipeline data.
You can place the **pipeline package directory** anywhere on your local file
system.
### Installation from Python {#download-python}
Since the [`spacy download`](/api/cli#download) command installs the pipeline as
a **Python package**, we always recommend running it from the command line, just
like you install other Python packages with `pip install`. However, if you need
to, or if you want to integrate the download process into another CLI command,
you can also import and call the `download` function used by the CLI via Python.
<Infobox variant="warning">
Keep in mind that the `download` command installs a Python package into your
environment. In order for it to be found after installation, you will need to
**restart or reload** your Python process so that new packages are recognized.
</Infobox>
```python
import spacy
spacy.cli.download("en_core_web_sm")
```
### Using trained pipelines with spaCy {#usage}
To load a pipeline package, use [`spacy.load`](/api/top-level#spacy.load) with
@ -476,6 +508,5 @@ logic around spaCy's loader, you can use
[pytest](http://pytest.readthedocs.io/en/latest/)'s
[`importorskip()`](https://docs.pytest.org/en/latest/builtin.html#_pytest.outcomes.importorskip)
method to only run a test if a specific pipeline package or version is
installed. Each pipeline package exposes a `__version__` attribute which
you can also use to perform your own version compatibility checks before loading
it.
installed. Each pipeline package exposes a `__version__` attribute which you can
also use to perform your own version compatibility checks before loading it.