explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-08-04 04:10:20 +03:00
Code Issues Packages Projects Releases Wiki Activity

Change syntax

Browse Source
This commit is contained in:
thomashacker 2023-01-11 18:01:15 +01:00
parent ad397b19bc
commit 1a6a3494d7
1 changed files with 3 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
website/docs/usage/saving-loading.mdx
View File

@ -308,8 +308,7 @@ installed in the same environment – that's it.
You can load a probability table from [spacy-lookups-data](https://github.com/explosion/spacy-lookups-data) into an existing spaCy model like `en_core_web_sm`. You can load a probability table from [spacy-lookups-data](https://github.com/explosion/spacy-lookups-data) into an existing spaCy model like `en_core_web_sm`.
```python ```python {title="load_table.py"}
### load_table.py
import spacy import spacy
from spacy.lookups import load_lookups from spacy.lookups import load_lookups
nlp = spacy.load("en_core_web_sm") nlp = spacy.load("en_core_web_sm")
@ -319,15 +318,14 @@ nlp.vocab.lookups.add_table("lexeme_norm", lookups.get_table("lexeme_norm"))
When training a model from scratch you can also specify probability tables in the `config.cfg`. When training a model from scratch you can also specify probability tables in the `config.cfg`.
```ini ```ini {title="config.cfg (excerpt)"}
### config.cfg (excerpt)
[initialize.lookups] [initialize.lookups]
@misc = "spacy.LookupsDataLoader.v1" @misc = "spacy.LookupsDataLoader.v1"
lang = ${nlp.lang} lang = ${nlp.lang}
tables = ["lexeme_norm"] tables = ["lexeme_norm"]
``` ```
### Custom components via entry points {#entry-points-components} ### Custom components via entry points {id="entry-points-components"}
When you load a pipeline, spaCy will generally use its `config.cfg` to set up When you load a pipeline, spaCy will generally use its `config.cfg` to set up
the language class and construct the pipeline. The pipeline is specified as a the language class and construct the pipeline. The pipeline is specified as a