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68 lines
2.2 KiB
Markdown
68 lines
2.2 KiB
Markdown
---
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title: Model Architectures
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teaser: Pre-defined model architectures included with the core library
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source: spacy/ml/models
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menu:
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- ['Tok2Vec', 'tok2vec']
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- ['Transformers', 'transformers']
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- ['Parser & NER', 'parser']
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- ['Text Classification', 'textcat']
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- ['Entity Linking', 'entitylinker']
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---
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TODO: intro and how architectures work, link to
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[`registry`](/api/top-level#registry),
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[custom models](/usage/training#custom-models) usage etc.
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## Tok2Vec architectures {#tok2vec source="spacy/ml/models/tok2vec.py"}
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### spacy.HashEmbedCNN.v1 {#HashEmbedCNN}
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### spacy.HashCharEmbedCNN.v1 {#HashCharEmbedCNN}
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### spacy.HashCharEmbedBiLSTM.v1 {#HashCharEmbedBiLSTM}
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## Transformer architectures {#transformers source="github.com/explosion/spacy-transformers/blob/master/spacy_transformers/architectures.py"}
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### spacy-transformers.TransformerModel.v1 {#TransformerModel}
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## Parser & NER architectures {#parser source="spacy/ml/models/parser.py"}
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### spacy.TransitionBasedParser.v1 {#TransitionBasedParser}
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> #### Example Config
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>
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> ```ini
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> [model]
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> @architectures = "spacy.TransitionBasedParser.v1"
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> nr_feature_tokens = 6
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> hidden_width = 64
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> maxout_pieces = 2
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>
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> [model.tok2vec]
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> # ...
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> ```
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| Name | Type | Description |
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| ------------------- | ------------------------------------------ | ----------- |
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| `tok2vec` | [`Model`](https://thinc.ai/docs/api-model) | |
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| `nr_feature_tokens` | int | |
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| `hidden_width` | int | |
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| `maxout_pieces` | int | |
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| `use_upper` | bool | |
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| `nO` | int | |
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## Text classification architectures {#textcat source="spacy/ml/models/textcat.py"}
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### spacy.TextCatEnsemble.v1 {#TextCatEnsemble}
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### spacy.TextCatBOW.v1 {#TextCatBOW}
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### spacy.TextCatCNN.v1 {#TextCatCNN}
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### spacy.TextCatLowData.v1 {#TextCatLowData}
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## Entity linking architectures {#entitylinker source="spacy/ml/models/entity_linker.py"}
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### spacy.EntityLinker.v1 {#EntityLinker}
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