//- 💫 DOCS > USAGE > VISUALIZERS > JUPYTER
p
| displaCy is able to detect whether you're working in a
| #[+a("https://jupyter.org") Jupyter] notebook, and will return markup
| that can be rendered in a cell straight away. When you export your
| notebook, the visualizations will be included as HTML.
+code("Jupyter Example").
# don't forget to install a model, e.g.: python -m spacy download en
import spacy
from spacy import displacy
doc = nlp(u'Rats are various medium-sized, long-tailed rodents.')
displacy.render(doc, style='dep', jupyter=True)
doc2 = nlp(LONG_NEWS_ARTICLE)
displacy.render(doc2, style='ent', jupyter=True)
+aside("Enabling or disabling Jupyter mode")
| To explicitly enable or disable "Jupyter mode", you can use the
| #[code jupyter] keyword argument – e.g. to return raw HTML in a notebook,
| or to force Jupyter rendering if auto-detection fails.
+image("/assets/img/displacy_jupyter.jpg", 700, false, "Example of using the displaCy dependency and named entity visualizer in a Jupyter notebook")
| Internally, displaCy imports #[code display] and #[code HTML] from
| #[code IPython.core.display] and returns a Jupyter HTML object. If you
| were doing it manually, it'd look like this:
+code.
from IPython.core.display import display, HTML
html = displacy.render(doc, style='dep')
display(HTML(html))