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