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--- |
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tags: |
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- text-classification |
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- language-identification |
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inference: false |
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license: cc-by-sa-3.0 |
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language: multilingual |
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library_name: staticvectors |
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--- |
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# Language Detection with StaticVectors |
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This model is an export of this [FastText Language Identification model](https://fasttext.cc/docs/en/language-identification.html) for [`staticvectors`](https://github.com/neuml/staticvectors). `staticvectors` enables running inference in Python with NumPy. This helps it maintain solid runtime performance. |
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Language detection is an important task and identification with n-gram models is an efficient and highly accurate way to do it. |
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## Usage with StaticVectors |
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```python |
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from staticvectors import StaticVectors |
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model = StaticVectors("neuml/language-id") |
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model.predict(["What language is this text?"]) |
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``` |
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