Assuming you have a working python environment, you can simply install it using
pip install spacy_fastlang
The library exports a pipeline component called language_detector that will set two spacy extensions
xx as a fallbackimport spacy_fastlang # noqa: F401 # pylint: disable=unused-import
nlp = spacy.load("...")
nlp.add_pipe("language_detector")
doc = nlp(en_text)
doc._.language == "..."
doc._.language_score >= ...
Check the tests to see more examples and available options
Everythin is under MIT except the default model which is distributed under Creative Commons Attribution-Share-Alike License 3.0 by facebook here
FAQs
Language detection using FastText and Spacy
We found that spacy_fastlang demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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