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| Benchmark | chrF++ | XCOMET-XXL |
|---|---|---|
| FLORES-200 devtest | 44.9 | 80.5 |
| LoResMT 2026 test | 49.1 | 69.7 |
| Benchmark | chrF++ | XCOMET-XXL |
|---|---|---|
| FLORES-200 devtest | 42.4 | 82.8 |
1from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
2
3tokenizer = AutoTokenizer.from_pretrained("Novokshanov/ru-ky-mt0-loresmt2026")
4model = AutoModelForSeq2SeqLM.from_pretrained("Novokshanov/ru-ky-mt0-loresmt2026")
5
6# Availible prefixes are "<2ky>" and "<2ru>".
7
8text = "<ky>Привет, как дела?"
9inputs = tokenizer(text, max_length=512, return_tensors="pt")
10outputs = model.generate(**inputs, max_length=512, num_beams=5)
11translation = tokenizer.decode(outputs[0], skip_special_tokens=True)
12print(translation)tbd