| | --- |
| | tags: |
| | - text-classification |
| | - language-identification |
| | inference: false |
| | license: cc-by-sa-3.0 |
| | language: multilingual |
| | library_name: staticvectors |
| | --- |
| | |
| | # Language Detection with StaticVectors |
| |
|
| | 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. |
| |
|
| | Language detection is an important task and identification with n-gram models is an efficient and highly accurate way to do it. |
| |
|
| | ## Usage with StaticVectors |
| |
|
| | ```python |
| | from staticvectors import StaticVectors |
| | |
| | model = StaticVectors("neuml/language-id") |
| | model.predict(["What language is this text?"]) |
| | ``` |
| |
|
