NLLB-200 1.3B Spanish ↔ Inga
Neural machine translation between Spanish and Inga, a Colombian Indigenous language (Inga people, Putumayo and Nariño). The model is bidirectional: it translates Spanish to Inga and Inga to Spanish.
Fine-tune of facebook/nllb-200-1.3B from the thesis Data-Centric Strategies for Low-Resource Neural Machine Translation in Colombian Indigenous Languages (Universidad de los Andes, FLAG Lab).
Languages
| Role | Language | Tokenizer code | ISO 639-3 |
|---|---|---|---|
| Source / target | Spanish | spa_Latn | spa |
| Source / target | Inga | ing_Latn | inb |
Results
SacreBLEU and chrF2 on the held-out test partition.
| Direction | BLEU | chrF2 |
|---|---|---|
| Spanish to Inga | 1.47 | 27.68 |
| Inga to Spanish | 4.62 | 23.73 |
Usage
from transformers import AutoModelForSeq2SeqLM, NllbTokenizer
tok = NllbTokenizer.from_pretrained("Flaglab/nllb-1.3B-inga-esp")
model = AutoModelForSeq2SeqLM.from_pretrained("Flaglab/nllb-1.3B-inga-esp")
# Spanish to Inga
tok.src_lang = "spa_Latn"
inputs = tok("Buenos días, ¿cómo estás?", return_tensors="pt")
out = model.generate(**inputs, forced_bos_token_id=tok.convert_tokens_to_ids("ing_Latn"))
print(tok.batch_decode(out, skip_special_tokens=True))
Training
- Base model: facebook/nllb-200-1.3B
- Strategy: Expanded bilingual corpus (full variant).
- Tokenizer: NLLB SentencePiece extended with a custom Inga vocabulary.
License and intended use
Released under CC-BY-NC 4.0, inherited from NLLB-200: non-commercial use only. Intended for research on machine translation for Colombian Indigenous languages. Outputs have not been validated by human speakers.