readme: ---
  language: et
  ---
  ## Model Description
  
  This model is based off **Sentence-Transformer's** `distiluse-base-multilingual-cased` multilingual model that has been extended to understand sentence embeddings in Estonian.
  
  ## Sentence-Transformers
  
  This model can be imported directly via the SentenceTransformers package as shown below:
  
  ```python
  from sentence_transformers import SentenceTransformer
  model = SentenceTransformer('kiri-ai/distiluse-base-multilingual-cased-et')
  sentences = ['Here is a sample sentence','Another sample sentence']
  embeddings = model.encode(sentences)
  
  print("Sentence embeddings:")
  print(embeddings)
  ```
  
  ## Fine-tuning
  
  The fine-tuning and training processes were inspired by [sbert's](https://www.sbert.net/) multilingual training techniques which are available [here](https://www.sbert.net/examples/training/multilingual/README.html). The documentation shows and explains the step-by-step process of using parallel sentences to train models in a different language.
  
  ### Resources
  
  The model was fine-tuned on English-Estonian parallel sentences taken from [OPUS](http://opus.nlpl.eu/) and [ParaCrawl](https://paracrawl.eu/).
  