--- title: Model Architectures teaser: Pre-defined model architectures included with the core library source: spacy/ml/models --- TODO: intro and how architectures work, link to [`registry`](/api/top-level#registry), [custom models](/usage/training#custom-models) usage etc. ## Parser architectures {source="spacy/ml/models/parser.py"} ### spacy.TransitionBasedParser.v1 > #### Example Config > > ```ini > [model] > @architectures = "spacy.TransitionBasedParser.v1" > nr_feature_tokens = 6 > hidden_width = 64 > maxout_pieces = 2 > > [model.tok2vec] > # ... > ``` | Name | Type | Description | | ------------------- | ------------------------------------------ | ----------- | | `tok2vec` | [`Model`](https://thinc.ai/docs/api-model) | | | `nr_feature_tokens` | int | | | `hidden_width` | int | | | `maxout_pieces` | int | | | `use_upper` | bool | | | `nO` | int | |