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Update docs [ci skip]

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Ines Montani 2020-09-13 22:36:20 +02:00
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website/docs/usage/v3.md
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@ -808,17 +808,7 @@ values. You can then use the auto-generated `config.cfg` for training:
+ python -m spacy train ./config.cfg --output ./output
```
<!-- TODO:
<Project id="some_example_project">
The easiest way to get started with an end-to-end training process is to clone a
[project](/usage/projects) template. Projects let you manage multi-step
workflows, from data preprocessing to training and packaging your pipeline.
</Project>
-->
<!-- TODO: project template -->
#### Training via the Python API {#migrating-training-python}