# spacy_fastlang
## Install
Assuming you have a working python environment, you can simply install it using
```
pip install spacy_fastlang
```
## Usage
The library exports a pipeline component called `language_detector` that will set two spacy extensions
- doc.\_.language = ISO code of the detected language or `xx` as a fallback
- doc.\_.language_score = confidence
```
import 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 >= ...
```
## Options
[Check the tests](./tests/test_spacy_fastlang.py) to see more examples and available options
## License
Everythin is under `MIT` except the default model which is distributed under [Creative Commons Attribution-Share-Alike License 3.0](https://creativecommons.org/licenses/by-sa/3.0/) by facebook [here](https://fasttext.cc/docs/en/language-identification.html)
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