提供脚本代码实现离线输入中文翻译英文。
模型下载地址
配置虚拟环境
# conda create -n fys python=3.11.5
# conda activate fys
# pip install --upgrade pip
# pip install transformers sentencepiece tensorflow torch
# pip install tensorflow -i https://mirrors.aliyun.com/pypi/simple
# pip install --force-reinstall sacremoses
翻译脚本
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
# Load model
model_name = "/Helsinki-NLP/opus-mt-zh-en" # Example model
tokenizer = AutoTokenizer.from_pretrained(model_name, local_files_only=True)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name, local_files_only=True)
def translate(text):
inputs = tokenizer.encode(text, return_tensors="pt")
outputs = model.generate(inputs)
translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
return translated_text
if __name__ == '__main__':
try:
while True:
source_text = input("请输入要中文文本: ")
if source_text.lower() == 'q':
break
translation = translate(source_text)
print("翻译结果: ", translation)
except Exception as e:
print("发生错误:", e)
input("按 Enter 键退出...")
启动脚本
python.exe -s cntoen.py
pause
目录介绍
F:\python\fys
F:\python\fys\Helsinki-NLP\opus-mt-zh-en
F:\python\fys\fy.bat
F:\python\fys\cntoen.py