from transformers import T5Tokenizer, T5ForConditionalGeneration

tokenizer = T5Tokenizer.from_pretrained("SateCincau/nmt-gaul-formal")
model     = T5ForConditionalGeneration.from_pretrained("SateCincau/nmt-gaul-formal")

teks_gaul = "barangnya kece bgt, recommended pokoknya!"

inputs = tokenizer(
    "formalkan: " + teks_gaul,
    return_tensors="pt",
    max_length=128
)

output = model.generate(**inputs, max_length=128, num_beams=4)
print(tokenizer.decode(output[0], skip_special_tokens=True))
# Output: Barang yang diterima sangat bagus, sangat direkomendasikan.

Contoh

Input (Gaul)	Output (Formal)
barangnya kece bgt, recommended!	Barang yang diterima sangat bagus.
seller fast respon, thx udh sabar	Penjual merespons cepat, terima kasih.
worth it bgt harganya	Harga sangat sepadan.
ongkirnya mahal tp barang cepet nyampe	Biaya pengiriman mahal namun barang cepat tiba.

Referensi

Vaswani et al. (2017). Attention Is All You Need. NeurIPS.
Cahyawijaya et al. (2021). IndoNLG Benchmark. EMNLP.
Sutoyo et al. (2025). PRDECT-ID Dataset.