Rooba
/
spaCy
mirror of https://github.com/explosion/spaCy.git
1
1
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Improve pipeline model and meta example [ci skip]

This commit is contained in:
Ines Montani 2019-02-24 18:45:39 +01:00
parent 2011563c51
commit aa52305461
1 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
website/docs/usage/processing-pipelines.md
View File

@ -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.