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	Update docs [ci skip]
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			@ -831,6 +831,8 @@ so you can compare their results. The following script starts an
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argument you can pass in from your `config.yml`: a comma-separated list of paths
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to load the pipelines from and an example text to use as the default text.
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<!-- TODO: replace with embed -->
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```python
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### scripts/visualize.py
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import spacy_streamlit
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			@ -683,7 +683,7 @@ You can also implement your own batch size schedule to use during training. The
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import spacy
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@spacy.registry.schedules("my_custom_schedule.v1")
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def my_custom_schedule(start: int = 1, factor: int = 1.001):
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def my_custom_schedule(start: int = 1, factor: float = 1.001):
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   while True:
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      yield start
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      start = start * factor
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