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* Update processing-pipelines.md Under "things to try," inform users they can save metadata when using nlp.pipe(foobar, as_tuples=True) Link to a new example on the attributes page detailing the following: > ``` > data = [ > ("Some text to process", {"meta": "foo"}), > ("And more text...", {"meta": "bar"}) > ] > > for doc, context in nlp.pipe(data, as_tuples=True): > # Let's assume you have a "meta" extension registered on the Doc > doc._.meta = context["meta"] > ``` from https://stackoverflow.com/questions/57058798/make-spacy-nlp-pipe-process-tuples-of-text-and-additional-information-to-add-as * Updating the attributes section Update the attributes section with example of how extensions can be used to store metadata. * Update processing-pipelines.md * Update processing-pipelines.md Made as_tuples example executable and relocated to the end of the "Processing Text" section. * Update processing-pipelines.md * Update processing-pipelines.md Removed extra line * Reformat and rephrase Co-authored-by: Adriane Boyd <adrianeboyd@gmail.com> |
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101 | ||
_benchmarks-models.md | ||
embeddings-transformers.md | ||
facts-figures.md | ||
index.md | ||
layers-architectures.md | ||
linguistic-features.md | ||
models.md | ||
processing-pipelines.md | ||
projects.md | ||
rule-based-matching.md | ||
saving-loading.md | ||
spacy-101.md | ||
training.md | ||
v2-1.md | ||
v2-2.md | ||
v2-3.md | ||
v2.md | ||
v3.md | ||
visualizers.md |