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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 machine learning model that sets annotations on the [`Doc`](/api/doc) passing
through the pipeline. through the pipeline.
<!-- TODO: <Project id="tutorials/ner-relations"> <Project id="tutorials/rel_component">
Run this example use-case by using our project template. It includes all the
</Project> --> 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} #### 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) return RelationExtractor(nlp.vocab, model, name)
``` ```
<!-- TODO: <Project id="tutorials/ner-relations"> <Project id="tutorials/rel_component">
Run this example use-case by using our project template. It includes all the
</Project> --> 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>