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Update serialization 101
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//- 💫 DOCS > USAGE > SPACY 101 > SERIALIZATION
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p
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| If you've been modifying the pipeline, vocabulary vectors and entities, or made
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| updates to the model, you'll eventually want
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| to #[strong save your progress] – for example, everything that's in your #[code nlp]
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| object. This means you'll have to translate its contents and structure
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| into a format that can be saved, like a file or a byte string. This
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| process is called serialization. spaCy comes with
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| If you've been modifying the pipeline, vocabulary, vectors and entities,
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| or made updates to the model, you'll eventually want to
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| #[strong save your progress] – for example, everything that's in your
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| #[code nlp] object. This means you'll have to translate its contents and
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| structure into a format that can be saved, like a file or a byte string.
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| This process is called serialization. spaCy comes with
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| #[strong built-in serialization methods] and supports the
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| #[+a("http://www.diveintopython3.net/serializing.html#dump") Pickle protocol].
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@ -45,11 +45,7 @@ p
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| #[code Vocab] holds the context-independent information about the words,
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| tags and labels, and their #[strong hash values]. If the #[code Vocab]
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| wasn't saved with the #[code Doc], spaCy wouldn't know how to resolve
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| those IDs – for example, the word text or the dependency labels. You
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| might be saving #[code 446] for "whale", but in a different vocabulary,
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| this ID could map to "VERB". Similarly, if your document was processed by
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| a German model, its vocab will include the specific
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| #[+a("/docs/api/annotation#dependency-parsing-german") German dependency labels].
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| those IDs back to strings.
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+code.
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moby_dick = open('moby_dick.txt', 'r') # open a large document
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