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nllb-200-3.3B-spa-arn
CenIA/nllb-200-3.3B-spa-arn
nllb-200-3.3B-spa-arn 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 Mapuzungún. We support the following languages/graphemaries: - Spanish (spaLatn) - Azümchefe (quyLatn) - Ragileo (nsoLatn) - Unificad…
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At a glance
- Task
- Translation
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- m2m_100
- Access
- Public
- Created
- May 16, 2024
- Updated
- Jan 15, 2025
- SHA
- dff53124
Try a prompt
Model card
From the Hugging Face model README
Description
Finetuned facebook/nllb-200-3.3B model to translate between Spanish ("spa_Latn") and Mapuzungún. We support the following languages/graphemaries:
- Spanish (spa_Latn)
- Azümchefe (quy_Latn)
- Ragileo (nso_Latn)
- Unificado (fra_Latn)
Example
from transformers import NllbTokenizerFast, AutoModelForSeq2SeqLM
tokenizer = NllbTokenizerFast.from_pretrained("CenIA/nllb-200-3.3B-spa-arn")
model = AutoModelForSeq2SeqLM.from_pretrained("CenIA/nllb-200-3.3B-spa-arn")
def translate(sentence: str, translate_from="spa_Latn", translate_to="quy_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)
- Task
- Translation
- Library
- transformers
- Type
- m2m_100
- License
- cc-by-nc-4.0
- Created
- May 16, 2024
- Updated
- Jan 15, 2025