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1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_id = "ModelSpace/GemmaX2-28-9B-v0.1"
4tokenizer = AutoTokenizer.from_pretrained(model_id)
5
6model = AutoModelForCausalLM.from_pretrained(model_id)
7
8text = "Translate this from Chinese to English:\nChinese: 我爱机器翻译\nEnglish:"
9inputs = tokenizer(text, return_tensors="pt")
10
11outputs = model.generate(**inputs, max_new_tokens=512)
12print(tokenizer.decode(outputs[0], skip_special_tokens=True))1@misc{cui2025multilingualmachinetranslationopen,
2 title={Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study},
3 author={Menglong Cui and Pengzhi Gao and Wei Liu and Jian Luan and Bin Wang},
4 year={2025},
5 eprint={2502.02481},
6 archivePrefix={arXiv},
7 primaryClass={cs.CL},
8 url={https://arxiv.org/abs/2502.02481},
9}