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Update docs [ci skip]
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@ -6,6 +6,7 @@ menu:
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- ['Defining Sublayers', 'sublayers']
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- ['Defining Sublayers', 'sublayers']
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- ['PyTorch & TensorFlow', 'frameworks']
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- ['PyTorch & TensorFlow', 'frameworks']
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- ['Trainable Components', 'components']
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- ['Trainable Components', 'components']
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next: /usage/projects
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---
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---
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A **model architecture** is a function that wires up a
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A **model architecture** is a function that wires up a
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@ -44,7 +45,7 @@ are:
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The model type-signatures help you figure out which model architectures and
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The model type-signatures help you figure out which model architectures and
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components can fit together. For instance, the
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components can fit together. For instance, the
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[`TextCategorizer`](/api/textcaregorizer) class expects a model typed
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[`TextCategorizer`](/api/textcategorizer) class expects a model typed
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~~Model[List[Doc], Floats2d]~~, because the model will predict one row of
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~~Model[List[Doc], Floats2d]~~, because the model will predict one row of
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category probabilities per `Doc`. In contrast, the `Tagger` class expects a
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category probabilities per `Doc`. In contrast, the `Tagger` class expects a
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model typed ~~Model[List[Doc], List[Floats2d]]~~, because it needs to predict
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model typed ~~Model[List[Doc], List[Floats2d]]~~, because it needs to predict
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@ -1,6 +1,6 @@
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---
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---
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title: Training Models
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title: Training Models
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next: /usage/projects
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next: /usage/layers-architectures
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menu:
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menu:
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- ['Introduction', 'basics']
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- ['Introduction', 'basics']
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- ['Quickstart', 'quickstart']
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- ['Quickstart', 'quickstart']
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@ -292,7 +292,9 @@ format for documenting argument and return types.
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<Infobox title="New or reworked documentation" emoji="📖" list>
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<Infobox title="New or reworked documentation" emoji="📖" list>
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- **Usage: ** [Embeddings & Transformers](/usage/embeddings-transformers),
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- **Usage: ** [Embeddings & Transformers](/usage/embeddings-transformers),
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[Training models](/usage/training), [Projects](/usage/projects),
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[Training models](/usage/training),
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[Layers & Architectures](/usage/layers-architectures),
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[Projects](/usage/projects),
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[Custom pipeline components](/usage/processing-pipelines#custom-components),
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[Custom pipeline components](/usage/processing-pipelines#custom-components),
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[Custom tokenizers](/usage/linguistic-features#custom-tokenizer)
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[Custom tokenizers](/usage/linguistic-features#custom-tokenizer)
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- **API Reference: ** [Library architecture](/api),
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- **API Reference: ** [Library architecture](/api),
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@ -26,7 +26,7 @@
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{ "text": "Training Models", "url": "/usage/training", "tag": "new" },
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{ "text": "Training Models", "url": "/usage/training", "tag": "new" },
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{
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{
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"text": "Layers & Model Architectures",
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"text": "Layers & Model Architectures",
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"url": "/usage/architectures",
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"url": "/usage/layers-architectures",
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"tag": "new"
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"tag": "new"
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},
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},
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{ "text": "spaCy Projects", "url": "/usage/projects", "tag": "new" },
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{ "text": "spaCy Projects", "url": "/usage/projects", "tag": "new" },
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