readme: ---
  library_name: fasttext
  tags:
  - language-identification
  ---
  This is a fastText-based language classification model from the paper [The first neural machine translation system for the Erzya language](https://arxiv.org/abs/2209.09368).
  
  It supports 323 languages used in Wikipedia (as of July 2022), and has extended support of the Erzya (`myv`) and Moksha (`mdf`) languages.
  
  Example usage:
  
  ```Python
  import fasttext
  import urllib.request
  import os
  model_path = 'lid.323.ftz'
  url = 'https://huggingface.co/slone/fastText-LID-323/resolve/main/lid.323.ftz'
  if not os.path.exists(model_path):
      urllib.request.urlretrieve(url, model_path)  # or just download it manually
  
  model = fasttext.load_model(model_path)
  languages, scores = model.predict("эрзянь кель", k=3)  # k is the number of returned hypotheses
  ```
  
  The model was trained on texts of articles randomly sampled from Wikipedia. It works better with sentences and longer texts than with words, and may be sensitive to noise.