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.


This model can be imported directly via the SentenceTransformers package as shown below:

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:")


The fine-tuning and training processes were inspired by sbert's multilingual training techniques which are available here. The documentation shows and explains the step-by-step process of using parallel sentences to train models in a different language.


The model was fine-tuned on English-Estonian parallel sentences taken from OPUS and ParaCrawl.

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