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modified: spacy/language.py
- corrected typo in docstring for :method:`Language.replace_listeners` - added noqa comment on unused local variable assignment in :method:`Language.from_config` as I wasn't sure if it should be unassigned modified: website/docs/api/language.mdx - corrected typo in `Language.replace_listeners` markdown
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@ -1825,7 +1825,7 @@ class Language:
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# Later we replace the component config with the raw config again.
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interpolated = filled.interpolate() if not filled.is_interpolated else filled
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pipeline = interpolated.get("components", {})
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sourced = util.get_sourced_components(interpolated)
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sourced = util.get_sourced_components(interpolated) # noqa: F841
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# If components are loaded from a source (existing models), we cache
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# them here so they're only loaded once
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source_nlps = {}
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@ -1958,7 +1958,7 @@ class Language:
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useful when training a pipeline with components sourced from an existing
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pipeline: if multiple components (e.g. tagger, parser, NER) listen to
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the same tok2vec component, but some of them are frozen and not updated,
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their performance may degrade significally as the tok2vec component is
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their performance may degrade significantly as the tok2vec component is
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updated with new data. To prevent this, listeners can be replaced with
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a standalone tok2vec layer that is owned by the component and doesn't
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change if the component isn't updated.
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@ -856,7 +856,7 @@ token-to-vector embedding component like [`Tok2Vec`](/api/tok2vec) or
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training a pipeline with components sourced from an existing pipeline: if
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multiple components (e.g. tagger, parser, NER) listen to the same
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token-to-vector component, but some of them are frozen and not updated, their
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performance may degrade significally as the token-to-vector component is updated
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performance may degrade significantly as the token-to-vector component is updated
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with new data. To prevent this, listeners can be replaced with a standalone
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token-to-vector layer that is owned by the component and doesn't change if the
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component isn't updated.
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