CenIA/mt5-large-spa-rap

Description

Finetuned google/mt5-large model to translate between Spanish ("spa_Latn") and Rapanui ("mri_Latn").

Example

from transformers import T5TokenizerFast, AutoModelForSeq2SeqLM

tokenizer = T5TokenizerFast.from_pretrained("CenIA/mt5-large-spa-rap")
model = AutoModelForSeq2SeqLM.from_pretrained("CenIA/mt5-large-spa-rap")

def translate(sentence: str, translate_from="spa_Latn", translate_to="mri_Latn") -> str:
    inputs = tokenizer(translate_from + sentence, return_tensors="pt")
    result = model.generate(**inputs, forced_bos_token_id=tokenizer.convert_tokens_to_ids(translate_to))
    decoded = tokenizer.batch_decode(result, skip_special_tokens=True)[0]

    return decoded

traduction = translate("Hola, ¿cómo estás?")

print(traduction)