from transformers import pipeline

# Dzongkha -> English
translator = pipeline(
    "translation",
    model="kinleyrabgay/nllb-200-600M-dzo-eng-300k",
    src_lang="dzo_Tibt",
    tgt_lang="eng_Latn"
)
result = translator("ཁྱོད་ ག་ཅི་ འབདཝ་ སྨོ")
print(result[0]["translation_text"])

# English -> Dzongkha
translator = pipeline(
    "translation",
    model="kinleyrabgay/nllb-200-600M-dzo-eng-300k",
    src_lang="eng_Latn",
    tgt_lang="dzo_Tibt"
)
result = translator("What are you doing?")
print(result[0]["translation_text"])

Training Details

Base model: facebook/nllb-200-distilled-600M
Dataset: kinleyrabgay/dz_to_en (~225K parallel sentences)
Fine-tuned on: 2026-05-27
Epochs: 5
Max sequence length: 256
Learning rate: 2e-05
Effective batch size: 16