Edit model card

This model translates from Russian to Buryat language.

How to use in Python:

from transformers import MBartForConditionalGeneration, MBart50Tokenizer
model = MBartForConditionalGeneration.from_pretrained("SaranaAbidueva/mbart50_ru_bua")
tokenizer = MBart50Tokenizer.from_pretrained("SaranaAbidueva/mbart50_ru_bua")


def translate(text, max_length=200, num_beams=5, repetition_penalty=5.0, **kwargs):
    encoded = tokenizer(text, return_tensors="pt")
    generated_tokens = model.generate(
        **encoded.to(model.device),
        max_length=max_length, 
        num_beams=num_beams,
        repetition_penalty=repetition_penalty
    )
    return tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]

translate('Евгений Онегин интересная книга')
Downloads last month
3
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train SaranaAbidueva/mbart50_ru_bua