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add link to REL project

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svlandeg 2020-11-15 18:35:56 +01:00
parent a7e7d6c6c9
commit 99d0412b6e
1 changed files with 16 additions and 6 deletions
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website/docs/usage/layers-architectures.md
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@ -534,9 +534,14 @@ steps required:
machine learning model that sets annotations on the [`Doc`](/api/doc) passing
through the pipeline.
<!-- TODO: <Project id="tutorials/ner-relations">
</Project> -->
<Project id="tutorials/rel_component">
Run this example use-case by using our project template. It includes all the
code to create the ML model and the pipeline component from scratch.
It contains two config files to train the model:
one to run on CPU with a Tok2Vec layer, and one for the GPU using a transformer.
The project applies the relation extraction component to identify biomolecular
interactions, but you can easily swap in your own dataset for your experiments.
</Project>
#### Step 1: Implementing the Model {#component-rel-model}
@ -924,6 +929,11 @@ def make_relation_extractor(nlp, name, model):
return RelationExtractor(nlp.vocab, model, name)
```
<!-- TODO: <Project id="tutorials/ner-relations">
</Project> -->
<Project id="tutorials/rel_component">
Run this example use-case by using our project template. It includes all the
code to create the ML model and the pipeline component from scratch.
It contains two config files to train the model:
one to run on CPU with a Tok2Vec layer, and one for the GPU using a transformer.
The project applies the relation extraction component to identify biomolecular
interactions, but you can easily swap in your own dataset for your experiments.
</Project>