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rewrite intro, simpel Model example
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@ -10,18 +10,32 @@ menu:
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next: /usage/projects
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---
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A **model architecture** is a function that wires up a
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[Thinc `Model`](https://thinc.ai/docs/api-model) instance, which you can then
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use in a component or as a layer of a larger network. You can use Thinc as a
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thin wrapper around frameworks such as PyTorch, TensorFlow or MXNet, or you can
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implement your logic in Thinc directly. spaCy's built-in components will never
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construct their `Model` instances themselves, so you won't have to subclass the
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component to change its model architecture. You can just **update the config**
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so that it refers to a different registered function. Once the component has
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been created, its model instance has already been assigned, so you cannot change
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its model architecture. The architecture is like a recipe for the network, and
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you can't change the recipe once the dish has already been prepared. You have to
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make a new one.
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> #### Example
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>
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> ````python
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> from thinc.api import Model, chain
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>
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> def build_model(width: int, classes: int) -> Model:
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> tok2vec = build_tok2vec(width)
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> output_layer = build_output_layer(width, classes)
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> model = chain(tok2vec, output_layer)
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> return model
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> ````
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A **model architecture** is a function that wires up a
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[Thinc `Model`](https://thinc.ai/docs/api-model) instance. It describes the
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neural network that is run internally as part of a component in a spaCy
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pipeline. To define the actual architecture, you can implement your logic in
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Thinc directly, but you can also use Thinc as a thin wrapper around frameworks
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such as PyTorch, TensorFlow or MXNet.
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spaCy's built-in components require a `Model` instance to be passed to them via
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the config system. To change the model architecture of an existing component,
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you just need to **update the config** so that it refers to a different
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registered function. Once the component has been created from this config, you
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won't be able to change it anymore. The architecture is like a recipe for the
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network, and you can't change the recipe once the dish has already been
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prepared. You have to make a new one.
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## Type signatures {#type-sigs}
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