mirror of https://github.com/explosion/spaCy.git
add link to REL project
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@ -534,9 +534,14 @@ steps required:
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machine learning model that sets annotations on the [`Doc`](/api/doc) passing
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through the pipeline.
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<!-- TODO: <Project id="tutorials/ner-relations">
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</Project> -->
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<Project id="tutorials/rel_component">
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Run this example use-case by using our project template. It includes all the
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code to create the ML model and the pipeline component from scratch.
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It contains two config files to train the model:
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one to run on CPU with a Tok2Vec layer, and one for the GPU using a transformer.
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The project applies the relation extraction component to identify biomolecular
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interactions, but you can easily swap in your own dataset for your experiments.
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</Project>
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#### Step 1: Implementing the Model {#component-rel-model}
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@ -924,6 +929,11 @@ def make_relation_extractor(nlp, name, model):
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return RelationExtractor(nlp.vocab, model, name)
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```
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<!-- TODO: <Project id="tutorials/ner-relations">
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</Project> -->
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<Project id="tutorials/rel_component">
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Run this example use-case by using our project template. It includes all the
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code to create the ML model and the pipeline component from scratch.
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It contains two config files to train the model:
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one to run on CPU with a Tok2Vec layer, and one for the GPU using a transformer.
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The project applies the relation extraction component to identify biomolecular
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interactions, but you can easily swap in your own dataset for your experiments.
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</Project>
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