nllb-english-twi-finetuned-v2

🇬🇭 Ghanaian Asante Twi ↔ English AI Translator (V2)

Production-grade bilingual neural machine translation model between English and Asante Twi (Akan). Fine-tuned on 457,000+ parallel sentences from the Ghana Open Knowledge corpus with conversational alignment.

🚀 Key Highlights

• Natural Conversational Asante Twi: Produces authentic idioms ("Wo ho te sɛn?", "Merekɔ gua so akɔtɔ aduane", "Mente nea woreka no ase").
• Zero Token Loops: Resolves NLLB repetition bugs and literal word-for-word translation artifacts.
• Bidirectional: Supports both English ➔ Asante Twi and Asante Twi ➔ English.
• Voice TTS Pairing: Designed to work directly with the native Twi voice synthesis model techolise/akan-twi-speaker17-tts-v3.

💻 Quick Usage

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model_id = "techolise/nllb-english-twi-finetuned-v2"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSeq2SeqLM.from_pretrained(model_id)

text = "I am going to the market to buy food."
tokenizer.src_lang = "eng_Latn"
inputs = tokenizer(text, return_tensors="pt")
tgt_id = tokenizer.convert_tokens_to_ids("twi_Latn")

outputs = model.generate(**inputs, forced_bos_token_id=tgt_id, max_length=150)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
# Output: Merekɔ gua so akɔtɔ aduane.

📊 Benchmark Comparison