NLP Cache
A caching component for Doc classes in spacy.
Installation
pip install nlp_cache_sebastian_stigler
Usage
import spacy
nlp = spacy.load("de_core_news_sm")
text = "Ich wünsche Ihnen einen guten Morgen!"
doc_1 = nlp(text) # mean loading time about 4.5 ms
doc_2 = nlp(text) # recurrent mean loading time about 4.5 ms
To speed up loading a recurrent text you can use this caching utility, to
lookup known texts from the cache stored in the cache directory (relative
to the current directory).
import spacy
from nlp_cache import NlpCache
nlp = NlpCache(uncached_nlp=spacy.load("de_core_news_sm"), path="cache")
text = "Ich wünsche Ihnen einen guten Morgen!"
doc_1 = nlp(text) # mean loading time about 4.5 ms
doc_2 = nlp(text) # recurrent mean loading time about 840 µs
1 maintainer
Metadata
1 maintainer
Release files for nlp-cache-sebastian-stigler 0.3.0
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