Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
huolongshe fe6a0c7fe2 | 1 month ago | |
---|---|---|
app | 2 months ago | |
docs | 2 months ago | |
.gitignore | 2 months ago | |
Dockerfile | 2 months ago | |
LICENSE | 2 months ago | |
README.md | 2 months ago | |
application.yml | 1 month ago | |
build-docker.sh | 2 months ago | |
pack_model.py | 2 months ago | |
pip-install-reqs.sh | 2 months ago | |
requirements.txt | 2 months ago | |
run_model_server.py | 2 months ago |
支持100种语言的相互翻译。
M2M100 is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation. It was introduced in this paper and first released in this repository .
The model that can directly translate between the 9,900 directions of 100 languages. To translate into a target language, the target language id is forced as the first generated token. To force the target language id as the first generated token, pass the forced_bos_token_id parameter to the generate method.
模型来源: https://hf-mirror.com/facebook/m2m100_418M
本模型基于 ServiceBoot微服务引擎 进行服务化封装,参见: 《CubeAI模型开发指南》
$ sh pip-install-reqs.sh
$ serviceboot start
或
$ python3 run_model_server.py
一键式本地容器化部署和运行,参见: 《CubeAI模型独立部署指南》 或 CubeAI Docker Builder
本模型服务可一键发布至 CubeAI智立方平台 进行共享和部署,参见: 《CubeAI模型发布指南》
No Description
Python Shell Dockerfile Text
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》