spaCy/website/docs/api/architectures.md

title	teaser	source	menu
Model Architectures	Pre-defined model architectures included with the core library	spacy/ml/models	Tok2Vec tok2vec Transformers transformers Parser & NER parser Text Classification textcat Entity Linking entitylinker

TODO: intro and how architectures work, link to registry, custom models usage etc.

Tok2Vec architectures

spacy.HashEmbedCNN.v1

spacy.HashCharEmbedCNN.v1

spacy.HashCharEmbedBiLSTM.v1

Transformer architectures

spacy-transformers.TransformerModel.v1

spacy-transformers.Tok2VecListener.v1

Parser & NER architectures

spacy.TransitionBasedParser.v1

Example Config

[model]
@architectures = "spacy.TransitionBasedParser.v1"
nr_feature_tokens = 6
hidden_width = 64
maxout_pieces = 2

[model.tok2vec]
# ...

Name	Type	Description
tok2vec	Model
nr_feature_tokens	int
hidden_width	int
maxout_pieces	int
use_upper	bool
nO	int

Text classification architectures

spacy.TextCatEnsemble.v1

spacy.TextCatBOW.v1

spacy.TextCatCNN.v1

spacy.TextCatLowData.v1

Entity linking architectures

spacy.EntityLinker.v1