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CenIA/nllb-200-3.3B-spa-rap
nllb-200-3.3B-spa-rap is a translation model from CenIA. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
Finetuned facebook/nllb-200-3.3B model to translate between Spanish ("spaLatn") and Rapanui ("mriLatn").
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From the Hugging Face model README
Finetuned facebook/nllb-200-3.3B model to translate between Spanish ("spa_Latn") and Rapanui ("mri_Latn").
from transformers import NllbTokenizer, AutoModelForSeq2SeqLM
tokenizer = NllbTokenizer.from_pretrained("CenIA/nllb-200-3.3B-spa-rap")
model = AutoModelForSeq2SeqLM.from_pretrained("CenIA/nllb-200-3.3B-spa-rap")
def translate(sentence: str, translate_from="spa_Latn", translate_to="mri_Latn") -> str:
tokenizer.src_lang = translate_from
tokenizer.tgt_lang = translate_to
inputs = tokenizer(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)