46 lines
1.9 KiB
Markdown
46 lines
1.9 KiB
Markdown
# enginex-mlu370-translation
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# translation-transformers
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## Quickstart
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```shell
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#构建docker镜像
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docker build . -t mlu370_translation
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其中基础镜像 mlu370-pytorch:v25.01-torch2.5.0-torchmlu1.24.1-ubuntu22.04-py310 联系寒武纪厂商技术支持可获取
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#运行docker容器
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docker run -it -p 10078:80 --device=/dev/cambricon_dev0:/dev/cambricon_dev0 --device=/dev/cambricon_ctl --device=/dev/cambricon_ipcm0:/dev/cambricon_ipcm0 -e MODEL_TYPE=opus_mt -e MODEL_NAME=moxying/opus-mt-zh-en --name mlu370_translation_test mlu370_translation
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```
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等待模型下载完成，出现以下日志时，代表服务启动成功
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```shell
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INFO: Application startup complete.
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INFO: Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
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```
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执行测试程序
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```shell
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python3 test.py
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```
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测试程序执行结果
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```
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Succeed!
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Response: [{'translations': [{'origin_text': '生活就像一块巧克力', 'translated': 'Life is like a piece of chocolate.'}, {'origin_text': '你来自哪里', 'translated': 'Where are you from?'}, {'origin_text': '你吃饭了吗', 'translated': 'Have you eaten yet?'}]}]
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```
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停止docker容器
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```
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docker stop mlu370_translation_test
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```
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## 模型支持
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在Quickstart中运行容器时，通过环境变量的方式，指定模型的类型和具体的模型名称，即：
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```
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-e MODEL_TYPE=opus_mt -e MODEL_NAME=moxying/opus-mt-zh-en
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```
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目前支持以下几种配置:
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| MODEL_TYPE | MODEL_NAME |
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| ---------- | --------------------------------------- |
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| nllb200 | facebook/nllb-200-distilled-600M |
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| small100 | aiyueqi/alirezamsh_small100 |
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| mbart | facebook/mbart-large-50-many-to-many-mmt|
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| opus_mt | moxying/opus-mt-zh-en |
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其中，MODEL_TYPE代表模型类型，必须为以上表格列举之一；MODEL_NAME是modelscope上面能够拉取到的模型名称，需要和MODEL_TYPE对应
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