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

Update docs

This commit is contained in:
Adriane Boyd 2020-10-09 14:42:07 +02:00
parent 39aabf50ab
commit 2dd79454af
1 changed files with 4 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
website/docs/usage/embeddings-transformers.md
View File

@ -514,7 +514,7 @@ Many neural network models are able to use word vector tables as additional
features, which sometimes results in significant improvements in accuracy.
spaCy's built-in embedding layer,
[MultiHashEmbed](/api/architectures#MultiHashEmbed), can be configured to use
word vector tables using the `also_use_static_vectors` flag. This setting is
word vector tables using the `include_static_vectors` flag. This setting is
also available on the [MultiHashEmbedCNN](/api/architectures#MultiHashEmbedCNN)
layer, which builds the default token-to-vector encoding architecture.
@ -522,9 +522,9 @@ layer, which builds the default token-to-vector encoding architecture.
[tagger.model.tok2vec.embed]
@architectures = "spacy.MultiHashEmbed.v1"
width = 128
rows = 7000
also_embed_subwords = true
also_use_static_vectors = true
attrs = ["LOWER","PREFIX","SUFFIX","SHAPE"]
rows = [5000,2500,2500,2500]
include_static_vectors = true
```
<Infobox title="How it works" emoji="💡">