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	Update v3.1 usage docs
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			@ -68,7 +68,11 @@ that proposes candidate spans, which may or may not overlap, and a labeler model
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that predicts zero or more labels for each candidate. The predicted spans are
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available via the [`Doc.spans`](/api/doc#spans) container.
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<!-- TODO: example, getting started (init config?), maybe project template -->
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<Project id="experimental/ner_spancat">
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This project trains a span categorizer for Indonesian NER.
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</Project>
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<Infobox title="Tip: Create data with Prodigy's new span annotation UI">
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			@ -307,3 +311,10 @@ provide warnings if the source and target pipelines don't contain the same
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vectors. If you are sourcing a rule-based component like an entity ruler or
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lemmatizer that does not use the vectors as a model feature, then this warning
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can be safely ignored.
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### Warnings {#warnings}
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Logger warnings have been converted to Python warnings. Use
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[`warnings.filterwarnings`](https://docs.python.org/3/library/warnings.html#warnings.filterwarnings)
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or the new helper method `spacy.errors.filter_warning(action, error_msg='')` to
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manage warnings.
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