Improve pipeline model and meta example [ci skip]
@@ -29,10 +29,10 @@ components. spaCy then does the following:
>
> ```json
> {
-> "name": "example_model",
> "lang": "en",
+> "name": "core_web_sm",
> "description": "Example model for spaCy",
-> "pipeline": ["tagger", "parser"]
+> "pipeline": ["tagger", "parser", "ner"]
> }
> ```
@@ -51,11 +51,11 @@ components. spaCy then does the following:
So when you call this...
```python
-nlp = spacy.load("en")
+nlp = spacy.load("en_core_web_sm")
```
-... the model tells spaCy to use the language `"en"` and the pipeline
-`["tagger", "parser", "ner"]`. spaCy will then initialize
+... the model's `meta.json` tells spaCy to use the language `"en"` and the
+pipeline `["tagger", "parser", "ner"]`. spaCy will then initialize
`spacy.lang.en.English`, and create each pipeline component and add it to the
processing pipeline. It'll then load in the model's data from its data directory
and return the modified `Language` class for you to use as the `nlp` object.
